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Arnaldo Gualberto de Andrade e Silva

Arnaldo Gualberto de Andrade e Silva

MSc in Computer Science

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9
Publications
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Introduction
Skills and Expertise

Publications

Publications (9)
Article
The face is considered the primary biometric trait for machine-readable travel documents, like passports. In this context, the ISO/IEC 19794-5 standard defines a set of photographic requirements to ensure image quality and simplify the face recognition process. However, the assessment of face image compliance to the ISO/ICAO standard is still mostl...
Article
A Biometria oferece um mecanismo de autenticação confiável utilizando traços (físicos ou comportamentais) que permitam identificar usuários baseados em suas características naturais. O reconhecimento por impressão digital é uma das abordagens biométricas mais utilizadas, porém, ele ainda é um problema em aberto, uma vez que erros de falsa aceitação...
Conference Paper
Full-text available
Fingerprints are the most widely deployed biometric characteristics. However, the recognition of a fingerprint may be influenced by a lot of factors (e.g., skin conditions, sensor conditions) and a matching algorithm is highly affected by the quality of the images involved. This work proposes a novel method for Fingerprint Quality Assessment (FQA)...
Article
Full-text available
A criação e a comercialização de softwares de edição de imagens permitiu que pessoas comuns pudessem realizar qualquer tipo de manipulação em imagens digitais. Em um cenário judicial, em que autenticidade e integridade dos dados são cruciais, se faz necessário técnicas que permitam garantir tais atributos. A análise forense em imagens digitais busc...
Conference Paper
Full-text available
Fingerprints are an important biometric trait, being the most widely deployed biometric characteristic. Singularities detection represent an important step in fingerprint recognition due to plenty of comparisons required to identify a person, especially in large datasets. In this work, we propose a novel technique for fingerprint singularities dete...
Conference Paper
Full-text available
Biometric recognition by hand geometry has a large number of measurements that may be used for authentication. The higher number of attributes, the harder is to define the importance of each one. In this paper, we analyze the use of a Genetic Algorithm-based approach in improving Equal Error Rate (EER) performance for biometric authentication by ha...
Conference Paper
Full-text available
Fingerprints are an important biometric trait, being the most widely deployed biometric characteristic. Minutiae-based methods are the most popular technique to compare fingerprints, but as the pairing is rarely perfect the score between two fingerprints may also depend on another factor. Usually, a constant weight is computed either empirically or...
Conference Paper
Full-text available
Breast cancer is the most frequent cancer type among women. We present a method of classification of nodules (malignant or benign) found in mammograms using shape-based attributes and texture-based ones. Firstly, we built a test database, then we segmented and extracted a Gray Level Co-occurrence Matrix (GLCM) from each mammographic finding and ana...
Article
Full-text available
Data compression techniques for electrocardiographic and electroencephalographic exams have been widely reported in the literature over the last decades; but, there are no papers offering a unique solution for all biological signals typically present in polysomnographic records. Aiming to fill this gap, the present work proposes a method of lossy c...