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