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} }
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.