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Proceedings Paper

A novel method for rotation invariant palm print image stitching
Author(s): Shishir Paramathma Rao; Karen Panetta; Sos S. Agaian
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Paper Abstract

Although not as popular as fingerprint biometrics, palm prints have garnered interest in scientific community for the rich amount of distinctive information available on the palm. In this paper, a novel method for touchless palm print stitching to increase the effective area is presented. The method is not only rotation invariant but also able to robustly handle many distortions of touchless systems like illumination variations, pose variations etc. The proposed method also can handle partial palmprints, which have a high chance of occurrence in a scene of crime, by stitching them together to produce a much larger-to-full size palmprint for authentication purpose. Experiment results are shown for IIT-D palmprint database, from which pseudo partial palmprints were generated by cropping and randomly rotating them. Furthermore, the quality of stitching algorithm is determined by extensive computer simulations and visual analysis of the stitched image. Experimental results also show that the stitching significantly increases the area of palm image for feature point detection and hence provides a way to increase the accuracy and reliability of detection.

Paper Details

Date Published: 10 May 2017
PDF: 11 pages
Proc. SPIE 10221, Mobile Multimedia/Image Processing, Security, and Applications 2017, 102210N (10 May 2017); doi: 10.1117/12.2262366
Show Author Affiliations
Shishir Paramathma Rao, Tufts Univ. (United States)
Karen Panetta, Tufts Univ. (United States)
Sos S. Agaian, The Univ. of Texas at San Antonio (United States)
City Univ. of New York (United States)


Published in SPIE Proceedings Vol. 10221:
Mobile Multimedia/Image Processing, Security, and Applications 2017
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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