Hand image recognition by the techniques of hand shape scaling and image weight scaling

Authors:
Ching-Liang Su
Affiliations:
Department of Industrial Engineering and Technology Management, Da Yeh University, 112 Shan-Jeau Road, Da-Tsuen, Chang-Hua 51505, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

Citing 7
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Abstract

This research uses the object extracting technique to extract the - thumb, index, middle, ring, and small fingers from the hand images. The algorithm developed in this research can find the precise locations of the fingertips and the finger-to-finger-valleys. The extracted fingers contain many useful geometry features. One can use these features to do the person identification. The geometry descriptor is used to transfer geometry features of these finger images to another feature-domain for image-comparison. Image is scaled to make the finger image has more salient feature. Image is also magnifying by the basis of distance-multiplying-pixel-gray-level. After the image magnifying, the finger-image will possess more salient feature. Image subtraction is used to exam the difference of the two images.