DocumentCode :
3350754
Title :
A new cognitive model for Chinese character description and recognition
Author :
Liu, Jian-Qin ; Zheng, Nan-ning ; Li, Wei
Author_Institution :
Inst. of Artificial Intelligence & Robots, Xi´´an Jiaotong Univ., China
fYear :
1994
fDate :
5-9 Dec 1994
Firstpage :
418
Lastpage :
421
Abstract :
This paper proposes a new cognitive model, called “Segmentron”, for Chinese character description and recognition. The cognitive model consists of three layers: (1) perceptual extraction for skeleton feature, (2) affine description in convex space, and (3) entropic evolutionary classification for optimization. With the model mentioned above, the correct classification result can be given and recognized characters can also be found efficiently. The model is practical for Chinese character description and recognition and can be applied in the computer system for Chinese character recognition
Keywords :
character recognition; cognitive systems; entropy; feature extraction; optimisation; Chinese character description; Chinese character recognition; Segmentron; cognitive model; convex space; entropic evolutionary classification; optimization; perceptual extraction; skeleton feature; Character recognition; Cognitive robotics; Deformable models; Detectors; Distortion measurement; Entropy; Feature extraction; Image segmentation; Optical character recognition software; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 1994., Proceedings of the IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
0-7803-1978-8
Type :
conf
DOI :
10.1109/ICIT.1994.467083
Filename :
467083
Link To Document :
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