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Abordagem de aprendizagem profunda para sistemas de reconhecimento
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ISBN10: 6630355237
ISBN13: 9786630355239
Publisher: Edicoes Nosso Conhecimento
Pages: 68
Weight: 0.23
Height: 0.16 Width: 6.00 Depth: 9.00
Language: Portuguese
ISBN13: 9786630355239
Publisher: Edicoes Nosso Conhecimento
Pages: 68
Weight: 0.23
Height: 0.16 Width: 6.00 Depth: 9.00
Language: Portuguese
A biometria afirma-se como uma das soluções mais fiáveis para a identificação de indivÃduos nos sistemas de segurança modernos. Ao contrário das palavras-passe, utiliza caracterÃsticas fisiológicas próprias de cada pessoa, oferecendo um nÃvel de segurança mais elevado.Esta obra centra-se em duas modalidades promissoras: as veias dos dedos e as impressões palmares. Estáveis e difÃceis de falsificar, continuam, no entanto, sensÃveis à s variações de iluminação e à qualidade das imagens captadas. É proposta uma abordagem que combina a aprendizagem profunda e a aprendizagem automática. As caracterÃsticas são extraÃdas através de redes convolucionais pré-treinadas (VGG16, VGG19, MobileNetV2) e, posteriormente, aperfeiçoadas por \textit{fine-tuning}. Em seguida, são aplicados classificadores SVM, KNN e Random Forest, com uma comparação entre abordagens monoinstância e multiinstância. O MobileNetV2 oferece o melhor desempenho em termos de precisão e eficiência. A abordagem multi-instância reforça a robustez do sistema, enquanto o SVM se destaca pela sua precisão de reconhecimento.
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