Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/343135
Type: Artigo
Title: Hand vein biometric recognition approaches based on wavelet, SVM, artificial neural network and image registration
Author: de Brito, D.F.
Ling, L.L.
Abstract: Resumo Este artigo descreve em detalhes diferentes m ́etodos para o reconhecimento biom ́etrico com base nas veiasdas m ̃aos. Os m ́etodos tˆem como base Wavelets com SVM, Wavelets com Rede Neural Artificial e Registro deImagens. Um novo m ́etodo de segmenta ̧c ̃ao de imagens ́e proposto para localizar de modo adequado e eficiente aregi ̃ao das veias, permitindo a extra ̧c ̃ao de caracter ́ısticas (com Wavelets ou a partir de uma imagem normalizada)e a classifica ̧c ̃ao (com SVM, Rede Neural e Registro de Imagens). Para uma alta taxa de reconhecimento realizadaem tempo real n ́os propomos um sistema h ́ıbrido que combina os trˆes m ́etodos de classifica ̧c ̃ao mencionados. Osresultados de testes revelam que o sistema h ́ıbrido fornece umataxa de falsa rejei ̧c ̃ao(FRR) de 1% para umataxa de falsa aceita ̧c ̃ao(FAR) de 0.02%.
metadata.dc.description.abstractalternative: This paper describes in detail different hand vein recognition methods based on Wavelet-SVM, Wavelet-ANN and Image Registration. A new image segmentation and processing algorithm is proposed to efficiently locate vein regions and suitable for feature extraction (wavelet coefficients and normalized vein imagens) and classification (SVM, ANN and Image Registration). For real time recognition and high recognition rate, we proposed an integrated system which combines three above mentioned classification methods. The simulation results reveal that the proposed integrated system achieves 1% false rejection rate (FRR) and 0.02% false acceptance rate (FAR).
Subject: Biometria
Redes neurais (Computação)
Country: Espanha
Editor: Asociacion Espanola de Inteligencia Artificial
Rights: Fechado
Identifier DOI: 10.4114/intartif.vol22iss63pp101-120
Address: https://journal.iberamia.org/index.php/intartif/article/view/240
Date Issue: 2019
Appears in Collections:FEEC - Artigos e Outros Documentos

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