K., Y.E. Wong and Ali Chekima and Jamal Ahmad Dargham and Sainarayanan , Gopala (2008) Palmprint identification using sobel operator. In: 2008 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008), 17-20 December 2008, Hanoi, Vietnam.
Full text not available from this repository.Abstract
Biometric is the science of measuring human physiological and/ or behavioral characteristics for the purpose of authentication and identification. One of the human's physiological characteristics, palmprint, is gaining popularity among researchers because it is features rich. Palmprint is unique and easy to capture using a conventional digital camera. It does not change much across time. In this paper, ten right hand images from one hundred individuals are acquired using a digital camera. The hand image is pre-processed to obtain the palmprint image. The palmprint image is enhanced and resized to 60 × 60 pixels. Different Sobel operators are applied to the resized palmprint image. The Sobel image is thresholded and represented using feature vector. All of the feature vectors are compared using Hamming Distance similarity. An accuracy of 94.84 percent can be achieved using the proposed method. © 2008 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Keyword: | Biometric, Image processing, Palmprint identification, Sobel operator |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics |
| Department: | SCHOOL > School of Engineering and Information Technology |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 25 Mar 2011 11:01 |
| Last Modified: | 30 Dec 2014 14:50 |
| URI: | https://eprints.ums.edu.my/id/eprint/1616 |
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