Finger vein recognition is a promising biometric recognition technology, which verifies
identities via the vein patterns in the fingers. The vein vessel network is a very important vein …

We propose a rate-efficient, feature-agnostic approach for encoding image features for cloud-
based nearest neighbor search. We extract quantized random projections of the image …

Unimodal biometrics uses a single source of biometric system for personal identification. It
has a variety of problems such as noise in the sense data, Intra-class variations, Inter-class …

This paper describes the implementation of a reconfigurable hardware-based genetic
algorithm (HGA) accelerator using the hardware-software (HW/SW) co-design methodology …

In order to improve the accuracy of palmprint recognition, multispectral imaging has been
employed with a fusion strategy to acquire more discriminative information. The PolyU …

Human identification via multibiometrics is a very promising approach to improve the overall
system's accuracy and recognition performance. In recent years, several approaches toward …

We introduce a new model for personal recognition based on the 3-D geometry of the face.
The model is designed for application scenarios where the acquisition conditions constrain …

In this paper, we present a multimodal face recognition system that fuses results from both
Principal Component Analysis, Fisherface projections, minutia extraction and LBP feature …

Biometrics is the way of expedient and scrutinizing the physical attributes of a person. An
assortment of inevitable shortcomings has been faced by unimodal biometric recognition …

The paper presents a new method of signature recognition. The method consists in the
division of a set containing all the points of a signature into subsets. Signature points are …