Hand shape recognition by hand shape scaling, weight magnifying and finger geometry comparison

Authors:
Ching-Liang Su
Affiliations:
Department of Industrial Engineering and Technology Management, Da Yeh University, Chang-Hua, Taiwan
Venue:
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Year:
2007

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Abstract

This study uses object-extracting technique to extract thumb, index, middle, ring, and small fingers. The algorithm developed in this study can locate the precise locations of fingertips and finger-to-finger-valleys. The extracted fingers contain many useful geometry features. One can use these features to identify fingers. The geometry descriptor is used to transfer geometry features of fingers to another feature-domains. Fingers are scaled to allow fingers possess more salient features. Finger is also magnified by the basis of "distance multiplying gray level". After finger magnifying, finger will possess more salient feature. Image subtraction is used to examine the difference of the two fingers.