Handwritten Chinese character recognition

Cheung, Ho Ying (1999). Handwritten Chinese character recognition B.Sc Thesis, School of Computer Science and Electrical Engineering, The University of Queensland.

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Author Cheung, Ho Ying
Thesis Title Handwritten Chinese character recognition
School, Centre or Institute School of Computer Science and Electrical Engineering
Institution The University of Queensland
Publication date 1999
Thesis type B.Sc Thesis
Supervisor Dr. P.N.Suganthan
Mr Don Ajantha
Total pages 49
Language eng
Subjects 0906 Electrical and Electronic Engineering
Formatted abstract

The recognition of Chinese characters has been an area of great interest for many years, and a large number of research papers and reports have already been published in this area. There are several major problems with Chinese character recognition: Chinese characters are distinct and ideographic, the character size is very large and many structurally similar characters exist in the character set. Thus, classification criteria are difficult to generate.

This article presents a technique for the recognition of hand-printed Chinese characters using backpropagation algorithm. The article also discusses Chinese character recognition using preprocessing and projection and zoning feature extraction. The system was tested with 100 characters (each character has 160 samples), and it needs 7 output units from the network.

Keyword Handwritten recognition
Chinese character
Additional Notes * 4th year electrical engineering theses and information technology abstracts. 1999

Document type: Thesis
Collection: UQ Theses (non-RHD) - UQ staff and students only
Citation counts: Google Scholar Search Google Scholar
Created: Wed, 15 May 2013, 12:23:15 EST by Mr Yun Xiao on behalf of Scholarly Communication and Digitisation Service