Hand Geometry based Person Identification System using Support Vector Machine

著者

  • Rizoan Toufiq Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi-6204, Bangladesh.
  • Rawshon Raha Lecturer Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh.
  • Md. Rabiul Islam Associate Professor Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh.

キーワード:

Biometric、 hand geometry、 recognition、 shape、 appearance、 support vector machine.

要旨

In recent times, it is immensely important to identify a person to access the secure data in a system. In this case, verification and identification techniques play a vital role to secure the process. Password system has failed to provide such kind of security. We highly emphasize on the biometric characteristics to design such secured systems. In this paper, we provide a way to identify a unique person by his hand geometry feature. Shape based features of human hand have been extracted using different image processing techniques. Then the feature vector has been classified by multi-classifier support vector machine technique. The output of this person identification technique has provided a better performance which is about 85 percent using low quality non planer, noisy gray images. The system is expected to bring great comfort to users as there is no restriction of the palm position.Keywords: Biometric, hand geometry, recognition, shape, appearance, support vector machineCite this Article: Rizoan Toufiq, Rawshon Raha, Md. Rabiul Islam. Hand Geometry based Person Identification System using Support Vector Machine. Current Trends in Signal Processing. 2015; 5(1): 26-33p.

著者略歴

  • Md. Rabiul Islam、 Associate Professor Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh.
    Associate ProfessorDept. of Computer Science & EngineeringRajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh.

ダウンロード

発行日

2015-04-13

巻号

巻 5 号 1 (2015)

セクション

Research Articles

ライセンス

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

·         I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.

·         I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).

·         I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.

·          I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

_______________

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.