| Texto completo | |
| Autor(es): |
da Silva Vasconcelos, Raimundo Claudio
;
Pedrini, Helio
Número total de Autores: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2018; v. 11401, p. 8-pg., 2019-01-01. |
| Resumo | |
Decision based on fingerprint image quality is crucial for automatic fingerprint classification and recognition tasks. Quality is challenging due to a variety of noise types that may exist in an image. Researches have been conducted to propose suitable combination of techniques for assessing fingerprint quality, however, it is difficult to achieve a generic solution for different data sets. This work proposes a fingerprint image quality indicator based on directional information inherent in fingerprint ridges and evaluates a metric for quality assessment. Experimental results on Fingerprint Verification Competition (FVC) data sets demonstrate the usability of the proposed index. (AU) | |
| Processo FAPESP: | 17/12646-3 - Déjà vu: coerência temporal, espacial e de caracterização de dados heterogêneos para análise e interpretação de integridade |
| Beneficiário: | Anderson de Rezende Rocha |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |