Multispectral Palm Image Fusion: A Critical Review
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 6
Abstract
Hand biometrics, including fingerprint, palmprint, hand geometry and hand vein pattern, have obtained extensive attention in recent years. Physiologically, skin is a complex multi-layered tissue consisting of various types of components. Different components appear when the skin is illuminated with light sources of different wavelengths. This motivates us to integrate the information from multispectral palm images to a composite representation that conveys richer and denser pattern for recognition. In this paper, comparative study of several pixel level multispectral palm image fusion approaches is conducted and several well-established criteria are utilized as objective fusion quality evaluation measure. Among others, Curvelet transform based image fusion is found to perform best in preserving discriminative patterns from multispectral palm images
Authors and Affiliations
, Rajashree Bhokare , Deepali Sale , Dr. (Mrs. ) M. A. Joshi , Dr. M. S. Gaikwad,
Keywords
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