Palmprint Recognition Using Image Processing Written by Administrator Wednesday, 16 March 2011 08:58 Last Updated Monday, 21 March 2011 07:23 In today’s world, biometrics system is used almost everywhere for the security and personal recognition. The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. The primary objective of ...

Palmprint recognition aims at finding out the palmprint template from the database, which is from the same palm as a given palmprint input. Feature extraction plays an important role in the recognition process. In this paper, we propose a new feature extraction method by converting a spatial domain palmprint image into a frequency domain image using Fourier Transform (FT) and representing palmp...

In this paper, the method of processing and linear discriminant analysis of palmprint image is proposed. The palmprint image processing focuses on the location and segmentation which involves rotation and transition. By means of finding the two locate points about the index finger and middle finger, ring finger and little finger, the palmprint image is rotated and corrected a new coordinate sys...

Palmprint recognition has been in the focus of biometric research over the last ten years. Here, a biometric system for palmprint recognition based in the texture of palmprint principal lines is proposed. Two novel methods for detection of principal lines using graph search algorithms are developed. One of the schemes performs particularly well at detected fully connected lines, which is an adv...

This paper presents a new approach to improve the recognition performance of existing authentication systems based on palmprint. The technique presented extracts multiple features namely, minutiae, texture and ridge from the palmprint image using novel algorithms. The images are then classified using Artificial Bee Colony Classifier. The proposed palmprint approach proves to be superior to exis...

We propose an online palmprint identification and verification algorithm with the use of kernel Fisher discriminant analysis (KFD) on the Gabor wavelet representation of palm images. Desirable palm features are derived by Gabor wavelets on the palm region. The KFD method is then employed to extract higher order relations among the Gabor-palm images for palmprint recognition. As a real-world app...

In this study, based on directional representation for palmprint images and compressed sensing, we propose a novel approach for palmprint recognition. Firstly, the directional representation for appearance based approaches is obtained by the anisotropy filter to efficiently capture the main palmprint image characters. Compared with the traditional Gabor representations, the new representations ...

As an important application in optical imaging, palmprint recognition is interfered by many unfavorable factors. An effective fusion of blockwise bi-directional two-dimensional principal component analysis and grouping sparse classification is presented. The dimension reduction and normalizing are implemented by the blockwise bi-directional two-dimensional principal component analysis for palmp...

Palmprint is one of the most useful physiological biometrics that can be used as a powerful means in personal recognition systems. The major features of the palmprints are palm lines, wrinkles and ridges, and many approaches use them in different ways towards solving the palmprint recognition problem. Here we proposed to use a set of statistical and waveletbased features; statistical to capture...

Mobile phones have become indispensable and powerful digital devices to use many services. To protect mobile devices and stored data, biometric authentication would play an important role. This paper proposes a contactless palmprint recognition algorithm for mobile phones which combines a hand segmentation algorithm using skin-color thresholding and region growing and a palmprint matching algor...