NDLI: The automation recognizable method of toe shape based on fuzzy comprehensive evaluation

Content Provider	IEEE Xplore Digital Library
Author	Shu Yang Li-Qun Gao Rong Wang Li-Ying Bian
Copyright Year	2005
Description	Author affiliation: Inst. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China (Shu Yang; Li-Qun Gao; Rong Wang; Li-Ying Bian)
Abstract	In the paper, one toe shape recognition method based on fuzzy comprehensive evaluation model is proposed according to the fuzzy character of toe image and the transitional character in different shapes. According to the statistic law of the characteristic value of toe shape, the membership functions belonging to different toe shape are constructed respectively from two effective indexes (angular characteristic value and length characteristic value), then this membership degree is taken as the singular evaluation factor, the toe shape is recognized by using comprehensive evaluation model and the rule of maximum membership degree. Using this fuzzy recognizable method can reflect objectively and accurately the characteristic different toe shape. The experimental results show that the fuzzy recognizable method of toe shape is feasible and effective.
Sponsorship	IEEE Syst., Man and Cybernetics Tech. Comm. on Cybernetics, Hong Kong Polytechnic Univ. Hebei Univ. South China Univ. Chongqing Univ. Sun Yat-sen Univ. Harbin Inst. of Technol. and Int. Univ. in Germany
Starting Page	2614
Ending Page	2618
File Size	292411
Page Count	5
File Format	PDF
ISBN	0780390911
DOI	10.1109/ICMLC.2005.1527385
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automation Shape Pattern recognition Character recognition Image recognition Statistics Artificial intelligence Competitive intelligence Paper technology Electronic mail scatter degree technique Toe shape the principle of maximum degree fuzzy recognition fuzzy comprehensive evaluation
Content Type	Text
Resource Type	Article

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