Página 1 dos resultados de 106 itens digitais encontrados em 0.003 segundos

‣ Plant Leaf Identification Using Gabor Wavelets

CASANOVA, Dalcimar; SA JUNIOR, Jarbas Joaci de Mesquita; BRUNO, Odemir Martinez
Fonte: JOHN WILEY & SONS INC Publicador: JOHN WILEY & SONS INC
Tipo: Artigo de Revista Científica
Português
Relevância na Pesquisa
38.34086%
This article presents a novel method of plant classification using Gabor wavelet filters to extract texture filters in a foliar surface. The aim of this promising method is to add to the results obtained by other leaf attributes (such as shape, contour, color, among others), increasing, therefore, the percentage of classification of plant species. To corroborate the efficiency of the technique, an experiment using 20 species from Brazilian flora was done and discussed. The results are also compared with texture Fourier descriptors and cooccurrence matrices. (C) 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 236-243, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20201; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); CNPq (National Council for Scientific and Technological Development, Brazil)[306628/2007-4]; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); CNPq (National Council for Scientific and Technological Development, Brazil)[135251/2006]; FAPESP (The State of Sao Paulo Research Foundation)[2006/53972-6]; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); FAPESP (The State of Sao Paulo Research Foundation)[2008/57313-2]

‣ Uma abordagem multi-escala para a geração de mosaicos; A multi-scale approach for mosaic generation

Sampaio, João Roberto de Godoy
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 25/04/2007 Português
Relevância na Pesquisa
48.513594%
Um mosaico é o conjunto de fotos de uma determinada área, recortadas e montadas técnica e artísticamente, de forma a dar a impressão de que todo o conjunto é uma única fotografia. No caso de fotografias aéreas, sua utilização soluciona o problema da necessidade de se retratar uma área de interesse mais extensa do que o campo de cobertura das lentes da câmera utilizada. O foco deste trabalho é a criação automática de mosaicos buscando encontrar a posição real de um conjunto de imagens imagens adquiridas em baixa altitude, de baixa escala, em relação à um Mapa de Base, de escala maior, realizando, assim, uma correlação entre imagens de escalas diferentes. Este problema é abordado por técnicas de análise multi-escala, mais precisamente, pela utilização de filtros de Gabor. A metodologia desenvolvida utiliza um banco de filtros de Gabor aplicado sobre uma imagem de referência de modo que, a partir da aplicação destes filtros sobre a mesma, seja possível gerar um processo automático de geração do mosaico para o restante do conjunto de imagens. Experimentos realizados utilizando o método proposto demonstram a eficácia do mesmo para imagens com texturas de orientação marcante, como o caso de imagens aéreas de plantação de eucaliptos; A mosaic is a set of pictures of a given area...

‣ Melhorias no reconhecimento de impressões digitais baseado no metodo FingerCode; Improvements in fingerprint recognition based on the FingerCode method

Gustavo Ferreira Cardoso de Sa
Fonte: Biblioteca Digital da Unicamp Publicador: Biblioteca Digital da Unicamp
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 29/06/2006 Português
Relevância na Pesquisa
38.827546%
Neste trabalho são apresentadas melhorias na robustez do método FingerCode para reconhecimento de impressões digitais. No FingerCode a textura dos componentes orientados das impressões digitais são extraídas por um banco direcional de filtros Gabor. Posteriormente, os componentes orientados são setorizados e para cada setor é computado um valor. Este conjunto de valores forma o vetor de atributos. Finalmente, a média da diferença absoluta dos dois vetores de atributos é computada indicando a similaridade entre duas impressões digitais. Foram testadas várias soluções e entre as que apresentaram melhores resultados destacam-se: a substituição dos valores dos atributos através de uma função não-linear, a ponderação dos valores de atributo de acordo com características estatísticas da distribuição espacial dos valores e o cálculo de medidas estatísticas extraídas dos histogramas de distribuição de diferenças. Estas funções apresentaram um ganho significativo, principalmente para o caso dos sensores óticos com uma melhoria de aproximadamente 45% no EER. Outra contribuição apresentada foi uma nova implementação rápida do filtro Gabor 2D, que se constitui de uma onda sinusoidal modulada por um envelope gaussiano. A filtragem 2D da imagem por um banco de filtros Gabor 2D é uma das etapas de maior consumo de tempo no processamento de imagens. Na nova solução proposta...

‣ Phase-differencing in stereo vision: solving the localisation problem

du Buf, J. M. H.; du Buf, J. M. H.; Tersic, K.; Rodrigues, J. M. F.; Rodrigues, J. M. F.
Fonte: Universidade do Algarve Publicador: Universidade do Algarve
Tipo: Conferência ou Objeto de Conferência
Publicado em //2013 Português
Relevância na Pesquisa
47.82243%
Complex Gabor filters with phases in quadrature are often used to model even- and odd-symmetric simple cells in the primary visual cortex. In stereo vision, the phase difference between the responses of the left and right views can be used to construct a disparity or depth map. Various constraints can be applied in order to construct smooth maps, but this leads to very imprecise depth transitions. In this theoretical paper we show, by using lines and edges as image primitives, the origin of the localisation problem. We also argue that disparity should be attributed to lines and edges, rather than trying to construct a 3D surface map in cortical area V1. We derive allowable translation ranges which yield correct disparity estimates, both for left-view centered vision and for cyclopean vision.

‣ Automated Video Analysis of Animal Movements Using Gabor Orientation Filters

Wagenaar, Daniel A.; Kristan, Wiliam B.
Fonte: Humana Press Inc Publicador: Humana Press Inc
Tipo: Artigo de Revista Científica
Português
Relevância na Pesquisa
37.822432%
To quantify locomotory behavior, tools for determining the location and shape of an animal’s body are a first requirement. Video recording is a convenient technology to store raw movement data, but extracting body coordinates from video recordings is a nontrivial task. The algorithm described in this paper solves this task for videos of leeches or other quasi-linear animals in a manner inspired by the mammalian visual processing system: the video frames are fed through a bank of Gabor filters, which locally detect segments of the animal at a particular orientation. The algorithm assumes that the image location with maximal filter output lies on the animal’s body and traces its shape out in both directions from there. The algorithm successfully extracted location and shape information from video clips of swimming leeches, as well as from still photographs of swimming and crawling snakes. A Matlab implementation with a graphical user interface is available online, and should make this algorithm conveniently usable in many other contexts.

‣ Detection of the Optic Nerve Head in Fundus Images of the Retina with Gabor Filters and Phase Portrait Analysis

Rangayyan, Rangaraj M.; Zhu, Xiaolu; Ayres, Fábio J.; Ells, Anna L.
Fonte: Springer-Verlag Publicador: Springer-Verlag
Tipo: Artigo de Revista Científica
Português
Relevância na Pesquisa
48.225635%
We propose a method using Gabor filters and phase portraits to automatically locate the optic nerve head (ONH) in fundus images of the retina. Because the center of the ONH is at or near the focal point of convergence of the retinal vessels, the method includes detection of the vessels using Gabor filters, detection of peaks in the node map obtained via phase portrait analysis, and an intensity-based condition. The method was tested on 40 images from the Digital Retinal Images for Vessel Extraction (DRIVE) database and 81 images from the Structured Analysis of the Retina (STARE) database. An ophthalmologist independently marked the center of the ONH for evaluation of the results. The evaluation of the results includes free-response receiver operating characteristics (FROC) and a measure of distance between the manually marked and detected centers. With the DRIVE database, the centers of the ONH were detected with an average distance of 0.36 mm (18 pixels) to the corresponding centers marked by the ophthalmologist. FROC analysis indicated a sensitivity of 100% at 2.7 false positives per image. With the STARE database, FROC analysis indicated a sensitivity of 88.9% at 4.6 false positives per image.

‣ Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches

Saremi, Saeed; Sejnowski, Terrence J.; Sharpee, Tatyana O.
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Português
Relevância na Pesquisa
48.86604%
The analysis of natural images with independent component analysis (ICA) yields localized bandpass Gabor-type filters similar to receptive fields of simple cells in visual cortex. We applied ICA on a subset of patches called position-centered patches, selected for forming a translation-invariant representation of small patches. The resulting filters were qualitatively different in two respects. One novel feature was the emergence of filters we call double-Gabor filters. In contrast to Gabor functions that are modulated in one direction, double-Gabor filters are sinusoidally modulated in two orthogonal directions. In addition the filters were more extended in space and frequency compared to standard ICA filters and better matched the distribution in experimental recordings from neurons in primary visual cortex. We further found a dual role for double-Gabor filters as edge and texture detectors, which could have engineering applications.

‣ Text Detection in Natural Scene Images by Stroke Gabor Words

Yi, Chucai; Tian, Yingli
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em //2011 Português
Relevância na Pesquisa
38.850881%
In this paper, we propose a novel algorithm, based on stroke components and descriptive Gabor filters, to detect text regions in natural scene images. Text characters and strings are constructed by stroke components as basic units. Gabor filters are used to describe and analyze the stroke components in text characters or strings. We define a suitability measurement to analyze the confidence of Gabor filters in describing stroke component and the suitability of Gabor filters on an image window. From the training set, we compute a set of Gabor filters that can describe principle stroke components of text by their parameters. Then a K -means algorithm is applied to cluster the descriptive Gabor filters. The clustering centers are defined as Stroke Gabor Words (SGWs) to provide a universal description of stroke components. By suitability evaluation on positive and negative training samples respectively, each SGW generates a pair of characteristic distributions of suitability measurements. On a testing natural scene image, heuristic layout analysis is applied first to extract candidate image windows. Then we compute the principle SGWs for each image window to describe its principle stroke components. Characteristic distributions generated by principle SGWs are used to classify text or nontext windows. Experimental results on benchmark datasets demonstrate that our algorithm can handle complex backgrounds and variant text patterns (font...

‣ A Practical Case Study: Face Recognition on Low Quality Images Using Gabor Wavelet and Support Vector Machines

Martí, Enrique David; Patricio Guisado, Miguel Ángel; Molina, José M.
Fonte: Springer Publicador: Springer
Tipo: info:eu-repo/semantics/acceptedVersion; info:eu-repo/semantics/article
Publicado em /12/2011 Português
Relevância na Pesquisa
58.0384%
Face recognition is a problem that arises on many real world applications, such as those related with Ambient Intelligence (AmI). The specific nature and goals of AmI applications, however, requires minimizing the invasiveness of data collection methods, often resulting in a drastic reduction of data quality and a plague of unforeseen effects which can put standard face recognition systems out of action. In order to deal with this, a face recognition system for AmI applications must not only be carefully designed but also subject to an exhaustive configuration plan to ensure it offers the required accuracy, robustness and real-time performance. This document covers the design and tuning of a holistic face recognition system targeting an Ambient Intelligence scenario. It has to work under partially uncontrolled capturing conditions: frontal images with pose variation up to 40 degrees, changing illumination, variable image size and degraded quality. The proposed system is based on Support Vector Machine (SVM) classifiers and applies Gabor Filters intensively. A complete sensitivity analysis shows how the recognition accuracy can be boosted through careful configuration and proper parameter setting, although the most adequate setting depends on the requirements for the final system.; This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI...

‣ Detecção computacional de assimetrias entre mamogramas; Computational detection of asymmetries between mammograms

Ferrari, Ricardo José
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Tese de Doutorado Formato: application/pdf
Publicado em 01/04/2002 Português
Relevância na Pesquisa
38.05654%
Neste trabalho foram propostas técnicas para a segmentação automática de mamogramas e para a detecção de assimetrias entre mamogramas esquerdo e direito. A segmentação é realizada através de três técnicas computacionais para a identificação de três importantes regiões anatômicas nos mamogramas: borda da mama, músculo peitoral e disco fibro-glandular. O primeiro método focaliza a identificação da borda da mama através do uso de um modelo de contorno ativo especialmente projetado para esse propósito. Neste estágio, a borda da mama é automaticamente demarcada, todos os artefatos fora dessa região são eliminados, e a região de interesse usada para a detecção do músculo peitoral é definida. No próximo estágio, a borda do músculo peitoral é determinada usando uma técnica multiresolução baseada na representação Gabor wavelets. Finalmente, um modelo de densidades da mama, baseado no modelo da mistura finita de Gaussianas, é proposto para a representação de quatro categorias de tecidos mamários com diferentes densidades. O disco fibro-glandular é identificado através da aplicação de um limiar sob as classes de densidades determinadas no modelo. Os métodos propostos foram aplicados em 84 imagens de mamogramas de projeções médio-laterais oblíqüas da base de dados Mini-MIAS ("Mammographic Image Analysis Society"...

‣ Leaf vein segmentation using Odd Gabor filters and morphological operations

Katyal, Vini; Aviral
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 22/06/2012 Português
Relevância na Pesquisa
48.0384%
Leaf vein forms the basis of leaf characterization and classification. Different species have different leaf vein patterns. It is seen that leaf vein segmentation will help in maintaining a record of all the leaves according to their specific pattern of veins thus provide an effective way to retrieve and store information regarding various plant species in database as well as provide an effective means to characterize plants on the basis of leaf vein structure which is unique for every species. The algorithm proposes a new way of segmentation of leaf veins with the use of Odd Gabor filters and the use of morphological operations for producing a better output. The Odd Gabor filter gives an efficient output and is robust and scalable as compared with the existing techniques as it detects the fine fiber like veins present in leaves much more efficiently.; Comment: International Journal of Advanced Research in Computer Science Volume 3, No. 3, May-June 2012

‣ Curved Gabor Filters for Fingerprint Image Enhancement

Gottschlich, Carsten
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Português
Relevância na Pesquisa
48.812407%
Gabor filters play an important role in many application areas for the enhancement of various types of images and the extraction of Gabor features. For the purpose of enhancing curved structures in noisy images, we introduce curved Gabor filters which locally adapt their shape to the direction of flow. These curved Gabor filters enable the choice of filter parameters which increase the smoothing power without creating artifacts in the enhanced image. In this paper, curved Gabor filters are applied to the curved ridge and valley structure of low-quality fingerprint images. First, we combine two orientation field estimation methods in order to obtain a more robust estimation for very noisy images. Next, curved regions are constructed by following the respective local orientation and they are used for estimating the local ridge frequency. Lastly, curved Gabor filters are defined based on curved regions and they are applied for the enhancement of low-quality fingerprint images. Experimental results on the FVC2004 databases show improvements of this approach in comparison to state-of-the-art enhancement methods.

‣ Spatiotemporal Gabor filters: a new method for dynamic texture recognition

Gonçalves, Wesley Nunes; Machado, Bruno Brandoli; Bruno, Odemir Martinez
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 17/01/2012 Português
Relevância na Pesquisa
48.47376%
This paper presents a new method for dynamic texture recognition based on spatiotemporal Gabor filters. Dynamic textures have emerged as a new field of investigation that extends the concept of self-similarity of texture image to the spatiotemporal domain. To model a dynamic texture, we convolve the sequence of images to a bank of spatiotemporal Gabor filters. For each response, a feature vector is built by calculating the energy statistic. As far as the authors know, this paper is the first to report an effective method for dynamic texture recognition using spatiotemporal Gabor filters. We evaluate the proposed method on two challenging databases and the experimental results indicate that the proposed method is a robust approach for dynamic texture recognition.; Comment: Workshop on Computer Vision 2011 http://www.wvc2011.ufpr.br

‣ 2D Face Recognition System Based on Selected Gabor Filters and Linear Discriminant Analysis LDA

Hafez, Samir F.; Selim, Mazen M.; Zayed, Hala H.
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 12/03/2015 Português
Relevância na Pesquisa
48.1713%
We present a new approach for face recognition system. The method is based on 2D face image features using subset of non-correlated and Orthogonal Gabor Filters instead of using the whole Gabor Filter Bank, then compressing the output feature vector using Linear Discriminant Analysis (LDA). The face image has been enhanced using multi stage image processing technique to normalize it and compensate for illumination variation. Experimental results show that the proposed system is effective for both dimension reduction and good recognition performance when compared to the complete Gabor filter bank. The system has been tested using CASIA, ORL and Cropped YaleB 2D face images Databases and achieved average recognition rate of 98.9 %.

‣ Face Recognition using Principal Component Analysis and Log-Gabor Filters

Perlibakas, Vytautas
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 07/05/2006 Português
Relevância na Pesquisa
47.82243%
In this article we propose a novel face recognition method based on Principal Component Analysis (PCA) and Log-Gabor filters. The main advantages of the proposed method are its simple implementation, training, and very high recognition accuracy. For recognition experiments we used 5151 face images of 1311 persons from different sets of the FERET and AR databases that allow to analyze how recognition accuracy is affected by the change of facial expressions, illumination, and aging. Recognition experiments with the FERET database (containing photographs of 1196 persons) showed that our method can achieve maximal 97-98% first one recognition rate and 0.3-0.4% Equal Error Rate. The experiments also showed that the accuracy of our method is less affected by eye location errors and used image normalization method than of traditional PCA -based recognition method.; Comment: Unpublished manuscript. March 2005. 23 pages, 7 figures, 5 tables

‣ How to construct log-Gabor Filters?

Fischer, Sylvain; Redondo, Rafael; Cristóbal Pérez, Gabriel
Fonte: Conselho Superior de Investigações Científicas Publicador: Conselho Superior de Investigações Científicas
Tipo: Informe Técnico Formato: 580549 bytes; application/pdf
Português
Relevância na Pesquisa
68.805864%
Orthogonal and biorthogonal wavelets became very popular image processing tools but exhibit major drawbacks, namely a poor resolution in orientation and the lack of translation invariance due to aliasing between subbands. We propose here the construction of log-Gabor wavelet transforms which allow exact reconstruction and strengthen the excellent mathematical properties of the Gabor filters. Two major improvements on the previous Gabor wavelet schemes are proposed: first the highest frequency bands are covered by narrowly localized oriented filters. Secondly, the set of filters cover uniformly the Fourier domain including the highest and lowest frequencies and thus exact reconstruction is achieved using the same filters in both the direct and the inverse transforms (which means that the transform is self-invertible). In this paper the procedure for constructing log-Gabor filters is described and a Matlab toolbox that implements such multiresolution scheme is available from the authors.; TEC2007-67025/TCM, TEC2006-28009-E and TEC2007- 30709E; Peer reviewed

‣ New contributions on image fusion and compression based on space-frequency representations; Nuevas contribuciones en fusión y compresión de imágenes basadas en representaciones espacio-frecuenciales

Redondo, Rafael
Fonte: Conselho Superior de Investigações Científicas Publicador: Conselho Superior de Investigações Científicas
Tipo: Tesis Formato: 3843662 bytes; application/pdf
Português
Relevância na Pesquisa
38.261333%
Tesis doctoral de la Escuela Técnica Superior de Ingenieros de Telecomunicación de la Universidad Politécnica de Madrid (ETSIT-UPM) y del Instituto de Óptica "Daza de Valdés" del Consejo Superior de Investigaciones Científicas (IO-CSIC).-- 181 págs.; Joint representations have experimented a significant height in signal processing during the last decades, to such an extent that there is no topic they have not been utilized for. Within a sea of joint representations existent in the literature, one of them concerns the present work: the log-Gabor multiresolution transform proposed in [70, 68]. Its low spectral overlapping, high selectivity in orientation and scalability, shift-invariance, self-invertibility and complex definition confers efficiency, versatility and robustness against noise and a low presence of artifacts. Further on, the tight similarity of overcomplete log-Gabor filters to the cortical area V1, together with the modeling of inhibitory/ facilitatory neuronal behaviors and sparse coding algorithms allow to achieve an approximation of the image based on the extraction of those salient features normally coincident with contours. This type of image representation based on multiscale contours traces new routes to solve image processing tasks...

‣ Implementing Cepstral Filtering Technique using Gabor Filters

Sharma, Sheena; Agarwal, Harshit; Markan, C. M.
Fonte: Universidade Autônoma de Barcelona Publicador: Universidade Autônoma de Barcelona
Tipo: Artigo de Revista Científica Formato: application/pdf
Publicado em //2012 Português
Relevância na Pesquisa
48.716455%
Cepstral filtering technique is applied on an interlaced image, the pattern similar to that which is found in layer IV of Primate Visual Cortex. Unless the signals from left and right eyes are placed simultaneously, the disparity cannot be detected. Therefore, it has a great significance in the sphere of stereo vision. It involves Power spectrum in computation, which is square of absolute of Fast Fourier Transform (FFT), is a complicated and hardware unfriendly. This paper shows the estimation of the Cepstral technique using a set of Gabor filters. The Ocular Dominance Column pattern analysis by the Gabor function is comparable to the perception in the human visual and makes the algorithm closer to biology. We propose an algorithm in which Gabor filters, instead of Power Spectrum, are applied to an interlaced image in the Cepstral algorithm. This scheme makes it hardware friendly as it gives the flexibility of working with modules which can be imitated in hardware. Building a FFT module is a tough task in analog circuit but determining Gabor Energy, an alternative to it, can be achieved by elementary circuits. The Phase, Energy Models and other methods use multi-lambda Gabor filters to compute disparity. The proposed method uses sum of absolute difference to choose a single Gabor filter of appropriate lambda that fits to find the disparity. The algorithm inherits the quality of both Gabor filter and Ocular Dominance Pattern and hence a biologically inspired and suitable for hardware realization. The proposed algorithm has been implemented on the test data image. A hardware scheme has also been proposed that can be used to estimate disparity and the idea can be extended in building complex modules that can perform real time - real image operations with a handful of resources as compared to employing complex digital FPGAs and CPLDs.

‣ Experimentación psicofísica y calibración de un modelo computacional del sistema visual humano

Montoro Vargas, Carlos
Fonte: Universidade Autônoma de Barcelona Publicador: Universidade Autônoma de Barcelona
Tipo: info:eu-repo/semantics/bachelorThesis; Text Formato: application/pdf
Publicado em 30/06/2015 Português
Relevância na Pesquisa
37.968901%
Este artículo describe el desarrollo de un software para generar estímulos visuales psicofísicos que muestran fenómenos de inducción cromática. Dichos estímulos se utilizarán en observadores humanos con la finalidad de obtener respuestas experimentales para calibrar el modelo computacional CIWaM[1]. El software desarrollado está fundamentado en filtros de Gabor; en contraposición con el software que éste toma como referencia que está basado en anillos concéntricos. Las variables utilizadas para definir los estímulos que se muestran en los experimentos se han decidido sobretodo en base a los parámetros utilizados para modelar la curva ECSF: frecuencia espacial y contraste centro-alrededor.; This article describes a software thought to generate psychophysical visual stimuli showing chromatic induction phenomena. Those stimuli will be used in human observers to get experimental responses which will be used to calibrate the computational model CIWaM[1]. The developed software is based on Gabor filters while its predecessor use concentric rings. Stimuli's parameters has been decided by parameters used to graph ECSF's curve: spatial frequency and center-surround contrast.; Aquest article descriu el desenvolupament d'un software per generar estímuls visuals psicofísics que mostren fenomens d'inducció cromàtica. Aquests estímuls s'utilitzaran en observadors humans amb la finalitat d'obtenir respostes experimentals per calibrar el model computacional CIWaM[1]. El sotware desenvolupat està fundamentat en filtres de Gabor...

‣ Fingerprint Recognition Using Local Features and Hu Moments

Aguilar-Torres,G.; Sánchez-Pérez,G.; Toscano-Medina,K.; Pérez-Meana,H.
Fonte: UNAM, Centro de Ciencias Aplicadas y Desarrollo Tecnológico Publicador: UNAM, Centro de Ciencias Aplicadas y Desarrollo Tecnológico
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/10/2012 Português
Relevância na Pesquisa
47.82243%
Person identification systems based on fingerprint patterns called Automatic Fingerprint Identification Systems, AFIS, are some of the most widely used biometric methods since they provide a high degree of success. The accuracy of AFIS is mainly due to some unique characteristics called minutiae, which are points where a curve track finishes, intersects with another curve track, or branches off. During past decades several efficient minutia-based fingerprint recognition algorithms have been proposed which achieve false recognition rates close to 1%, however, their recognition rate may be still improved. To this end, this paper presents a fingerprint recognition method using a combination of the Fast Fourier Transform (FFT) with Gabor filters for image enhancement. Next, fingerprint recognition is carried out using a novel recognition stage based on Local Features and Hu invariant moments for verification.