NDLI: A model based detecting approach for feature extraction of off-line handwritten Chinese character recognition

Content Provider	IEEE Xplore Digital Library
Author	Tai, J.-W. Liu, Y.-J. Zhang, L.-Q.
Copyright Year	1993
Description	Author affiliation: Inst. of Autom. Acad. Sinica, Beijing, China (Tai, J.-W.; Liu, Y.-J.; Zhang, L.-Q.)
Abstract	To simulate the cognitive ability of a human brain, especially thinking in images, a dynamic network composed of model based detectors for feature extraction of off-line handwritten Chinese character recognition (HCCR) is proposed. It is first argued that, according to noetic science, the methods of HCCR can be divided into two categories: thinking in images and thinking in logic. The former is particularly emphasized. A multilayer representation of an attributed semantic network for Chinese characters is given. After that, how a model based substructure detector makes stroke segmentation, detects points, strokes and their relationships, and extracts features is put forward. Finally, the dynamic association procedure of the model based detector network which is composed of 1700 substructure detectors is also explained. A Chinese character recognition system has been built based on this feature extraction approach.<>
Starting Page	826
Ending Page	829
File Size	386309
Page Count	4
File Format	PDF
ISBN	0818649607
DOI	10.1109/ICDAR.1993.395610
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-10-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Logic Character recognition Detectors Pattern recognition Brain modeling Artificial intelligence Humans Image segmentation Probes
Content Type	Text
Resource Type	Article

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