Palmprint Texture Analysis using 1D Log-Gabor Filter
1Trupti. Thite, Department of ECE, SDMCET, Dharwad, (Karnataka), India.
2Sharada.C. Sajjan, Department of ECE, SDMCET, Dharwad, (Karnataka), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 77-80 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1107053214/2014©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Biometrics is the study of automated methods for recognizing a person based on his physical or behavioral characteristic. Biometric systems can be divided into two categories- identification systems and verification systems. Identification systems tell “who you are?” and verification system tell “are you the one who you claim to be?” Security has become a paramount concern in today’s arena. Hence palmprint identification plays a very significant role to address issues of authentication .This involves image acquisition, preprocessing, feature extraction, and pattern matching. Here 1D Log-Gabor filter is used for texture analysis and feature extraction. Support Vector Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance. By the incorporation of this SVM classifier the performance of the whole application has significantly increased duly yielding concise accurate results
Keywords: CCD, SVM.
Scope of the Article: Predictive Analysis