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Machine recognition of printed Chinese characters via transformation algorithms
- Source :
- Pattern Recognition. 5:303-321
- Publication Year :
- 1973
- Publisher :
- Elsevier BV, 1973.
-
Abstract
- This paper presents some novel results concerning the recognition of single-font printed Chinese characters via the transformation algorithms of Fourier, Hadamard, and Rapid. The new design philosophy of a three-stage structure is believed to offer at least a suboptimal search strategy for recognizing printed Chinese characters with a dictionary of 7000–8000 characters. The transformation algorithms discussed in this paper will be used in the last two stages. Extensive experiments and simulations concerning feature extraction and noisy or abnormal pattern recognition have been carried out (the simulations have been restricted to a 63-character subset called “Radicals”). Comparison has been made of all three transforms according to their ability to recognize characters.
- Subjects :
- Topological property
Structure (mathematical logic)
Engineering
Philosophy of design
business.industry
Intelligent character recognition
Speech recognition
Feature extraction
Pattern recognition
Transformation (function)
Artificial Intelligence
Hadamard transform
Signal Processing
Pattern recognition (psychology)
Feature (machine learning)
Artificial intelligence
Computer Vision and Pattern Recognition
Chinese characters
business
Algorithm
Software
Mathematics
Subjects
Details
- ISSN :
- 00313203
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Pattern Recognition
- Accession number :
- edsair.doi.dedup.....e67eefe7a5a8273d5db096a8d4e6b6d2