Palm Vein Image Elucidation using 2-D Wavelet Theory
Shriram D Raut and Vikas T Humbe. Article: Palm Vein Image Elucidation using 2-D Wavelet Theory. IJCA Proceedings on National Conference on Recent Advances in Information Technology NCRAIT(1):1-4, February 2014. Full text available. BibTeX
@article{key:article,
author = {Shriram D. Raut and Vikas T. Humbe},
title = {Article: Palm Vein Image Elucidation using 2-D Wavelet Theory},
journal = {IJCA Proceedings on National Conference on Recent Advances in Information Technology},
year = {2014},
volume = {NCRAIT},
number = {1},
pages = {1-4},
month = {February},
note = {Full text available}
}
Abstract
Biometrics is automated tool of recognizing a person depends on physiological or behavioral characteristics. A palm vein is a new member of pattern recognition and biometrics family, has attracted much of the research attention. This paper discusses about the image enhancement operation such as histogram equalization, de-correlation stretch, and contrast stretch etc. which results a quite enhanced palm vein image. The enhanced palm vein image analysis is framed using 2-D wavelet tools and a comparison based on statistical data of these images is shown. The paper also discusses about the usefulness of 2-D wavelet tool for image analysis.
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