In:
Journal of Robotics and Mechatronics, Fuji Technology Press Ltd., Vol. 6, No. 1 ( 1994-02-20), p. 32-37
Abstract:
Recognition of the handshape is the indispensable step to recognize the JSL (Japanese Sign Language) which uses hands as a part of articulators. We start from recognition of Manual Alphabets (MA below) as a basis to understand the handshape of a sign. In our method considering its application to sign recognition at bust shot size image, we succeeded in obtaining a hand region of the bust shot color image (512 x 512 pixels) by transforming RGB system into HVC (Hue, Value and Chroma) system, and by cutting out automatically a region of a hand out of a region in skin color. The finger region was extracted out by the Erosion-Dilation method from the hand region and the features such as finger vector were obtained. We detected a direction of gradient direction and a figure of a contacted extended finger and used them as the features, which constructed a decision tree and made the MA recognized.
Type of Medium:
Online Resource
ISSN:
1883-8049
,
0915-3942
DOI:
10.20965/jrm.1994.p0032
Language:
English
Publisher:
Fuji Technology Press Ltd.
Publication Date:
1994
detail.hit.zdb_id:
2587053-1
detail.hit.zdb_id:
1021878-6
SSG:
31
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