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Car Type/Name Recognition System Based on The Concept of Fixation
Yoshinori Arai*, Kaoru Hirota**
*Research and Education Center of Software Engineering, Tokyo Institute of Polytechnics, 1583 Iiyama, Atsugi, Kanagawa 243-0297, Japan
**Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8502, Japan
Received:January 10, 1999Accepted:June 21, 1999Published:August 20, 1999
Keywords:Pattern recognition, Fuzzy inference, Car-Name identification
Abstract
The concept of the "Fixation", meaning to monitor features for identifying transport vehicles is proposed. And a framework of the "Fuzzy Hierarchical Pattern Recognition using a Fixation Feedback (FHPR/FF)" " algorithm is introduced. The experiment system, for identifying car types and car names where 70 images are taken for 14 miniature cars from 5 directions, is constructed. Forced recognition of 92.9% is achieved for car types and 89.7% for car names. The proposed experiment system is the basis for real running vehicle identification confirmed by perfect identification of 5 images for each model.
Cite this article as:Y. Arai and K. Hirota, “Car Type/Name Recognition System Based on The Concept of Fixation,” J. Adv. Comput. Intell. Intell. Inform., Vol.3 No.4, pp. 274-281, 1999.Data files:
