Phase congruency features for palm-print verification

Abstract

The existing palm-print verification schemes have demonstrated good verification performance when identity claims have to be verified based on palm-print images of adequate quality (e.g., acquired in controlled illumination conditions, free from distortions caused by the pressure applied to the surface of the scanner, etc.). However, most of these schemes struggle with their verification performance when features have to be extracted from palm-print images of a poorer quality. In this paper we present a novel palm-print feature-extraction approach which deals with the presented problem by employing the 2D phase congruency model for line-feature-extraction. The proposed approach first computes a set of phase congruency features from a palm-print image and subsequently performs linear discriminant analysis on the computed features to represent them in a more compact manner. The approach was tested on two contrasting databases, namely, on the FE-LUKS and on the PolyU database. Encouraging results were achieved on both databases.

Face Recognition Using Simplified Probabilistic Linear Discriminant Analysis

“…thus reducing the vector's dimensionality from d to d' [26]. Note that the Fisherface approach applies the presented LDA technique in a PCA reduced space to avoid singularity issues when inverting the within-class scatter matrix in Eq.…”

“…Consider a set of n d-dimensional input samples (e.g., facial images) arranged into a d x n data matrix � � �� � , � � , … , � � � and let us assume that each of these samples stems from one of N classes, i.e., subjects labelled � � , � � , … , � � . LDA seeks the projection basis W that maximizes the ratio of the between-class to the within-class scatter matrix [26], i.e. :…”

Palmprint Verification Using Multi-scale Gradient Orientation Maps

“…Hence, palmprint images should be aligned in position and orientation before the feature extraction step [15,16]. The central part of a palm is a region of interest (ROI), from which a palmprint feature is extracted.…”

Hand-based multimodal identification system with secure biometric template storage

“…Component Analysis (PCA) [19,20,21], Linear Discriminant Analysis (LDA) [13,20,22,23] and Independent Component Analysis (ICA) [20,24,25].…”

“…Several PP verification/identification systems have been proposed, using different feature extraction techniques, such as 2-D Gabor filters [10,11,12,13,14], 2-D Gaussian filters [15], finite Radon transform [16] and Discrete Cosine Transform (DCT) [17,18]. Subspace-based approaches are also commonly employed to perform feature extraction through Principal…”