This paper presents recent advances in biometric recognition, where we focus on face,
fingerprint and iris recognition, which are major research topics on biometric recognition. We …

Contactless personal identification using biometrics characteristics brings multifaceted
advantages with improved hygiene, user security, and the convenience. Such imaging also …

This paper presents an efficient palmprint based human recognition system. Each palmprint
is divided into several square overlapping blocks. Reconstruction error using principle …

This paper proposes a Finger-Knuckle-Print (FKP) recognition algorithm using Band-Limited
Phase-Only Correlation (BLPOC)-based local block matching. The phase information …

Extracting a palm region with fixed location from an input hand image is a crucial task for
palmprint recognition to realise reliable person authentication under contactless and …

This paper proposes a novel technique to extract palm-print features based on
instantaneous-phase difference obtained using Stockwell transform of overlapping circular …

Palm region extraction is one of the most important processes in palmprint recognition, since
the accuracy of extracted palm regions has a significant impact on recognition performance …

This paper proposes a Finger-Knuckle-Print (FKP) recognition algorithm using Band-Limited
Phase-Only Correlation (BLPOC)-based local block matching. The phase information …

Phase-based image matching has shown high recognition accuracy in palmprint verification.
The algorithm compares a pair of palmprint images by extracting local phase features from …

In the? eld of biometric recognition, similarity measure using local features such as Gabor-
based coding, Local Binary Patterns (LBP) and Scale Invariant Feature Transform (SIFT) has …