Palmprint Recognition using Principle Component Analysis Implemented on TMS320C6713 DSP Processor

Authors

  • Thulfiqar Hussein Mandeel School of Computer and Communication Engineering, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia
  • Muhammad Imran Ahmad School of Computer and Communication Engineering, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia
  • Mohd Nazrin Md Isa School of Microelectronic Engineering, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia
  • Ruzelita Ngadiran School of Computer and Communication Engineering, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia

Keywords:

Biometrics, Palmprint recognition, Principal Component Analysis, Feature Extraction,

Abstract

This paper presents a human identification system using eigen-palm images. The proposed method consists of three main stages. The preprocessing stage computes the palmprint images to capture important information and produce a better representation of palmprint image data. The second stage extracts significant features from palmprint images and reduces the dimension of the palmprint image data by applying the principal component analysis (PCA) technique. Low-dimensional features in the feature space are assumed to be Gaussian. Thus, the Euclidean distance classifier can be used in the matching process to compare test image with the template. The proposed method is tested using a benchmark PolyU dataset. Experimental results show that the best achieved recognition rate is 97.5% when the palmprint image is represented using 34 PCA coefficients. Moreover, the Euclidean distance classifier is implemented on a digital signal processor (DSP) board. Implementing the proposed algorithm using the DSP processor achieves better performance in computation time compared with a personal computer-based system

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Published

2016-07-01

How to Cite

Hussein Mandeel, T., Ahmad, M. I., Md Isa, M. N., & Ngadiran, R. (2016). Palmprint Recognition using Principle Component Analysis Implemented on TMS320C6713 DSP Processor. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(4), 41–46. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1169

Issue

Vol. 8 No. 4: Pioneering Future Innovation Through Green Technology II

Section

Articles

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