The rapidly evolving healthcare domain and the rise of telemedicine and remote diagnostic
techniques underscore the critical demand for secure, authentic, and reliable medical …

Different biometric traits have been proved to carry unique biological information of an
individual. Although their use is always problem specific but the good performance of palm …

In this paper, we present a novel bidirectional aggregated features representation from
convolutional neural networks (CNNs) with score-level fusion for palmprint recognition. Our …

Abstractiometricplay vigorous role in the authentication of user by using his/her physical
body traits. Unimodal biometric system uses single body traits and multimodal systems use …

Nowadays, there are several identification systems which are based on different biometric
modalities. In particular, multispectral images of palmprints captured in different spectral …

Résumé LA biométrie est une technique globale visant la reconnaissance automatique des
individusa partir de leurs caractéristiques physiologiques et/ou comportementales. Dans …

Palmprint recognition has now become an important identity recognition technique.
Palmprint image contains abundant texture features, especially the orientation and scale …

Deployment of automated biometric solutions that use cues from multiple modalities
enhances the reliability and robustness of authentication. In this chapter, a single sensor …

Local binary pattern (LBP) features have been used widely in texture extraction because of
its simplicity and high accuracy. In this paper, LBP as feature extraction is proposed with a …

Among various palmprint identification methods proposed in the literature, Sparse
Representation for Classification (SRC) is very attractive, offering high accuracy. Although …