Journal ArticleDOI
Optical Chinese Character Recognition Using Accumulated Stroke Features
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TLDR
An intelligent optical Chinese character recognition system using accumulated stroke features has been developed to solve the input problem of Chinese characters and results show that 99% of printed characters and 90% of constrained handwritten characters can be correctly recognized.Abstract:
An intelligent optical Chinese character recognition system using accumulated stroke features has been developed to solve the input problem of Chinese characters. The hardware architecture of the system is built on an IBM PC-AT with three extension boards: the preprocessor board, the feature extraction board, and the matching recognition board. The system can recognize, at the same time in the same program, either printed or handwritten Chinese characters of different styles and sizes. At present, a total of 5401 commonly used Chinese characters can be recognized. Results show that 99% of printed characters and 90% of constrained handwritten characters can be correctly recognized, at a speed of about 300 characters per minute.read more
Citations
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Journal ArticleDOI
Optical recognition of handwritten Chinese characters: Advances since 1980
Thomas H. Hildebrandt,Wentai Liu +1 more
TL;DR: As an area with sufficient challenge, considerable application potential, and extensive test data, handwritten Chinese character recognition is a good testbed for new recognition algorithms and enables connectionist models to be compared with more traditional recognition methods.
Journal ArticleDOI
Characterization of the cuneiform signs by the use of a multifunctional optoelectronic device
TL;DR: To decrease the between different samples of a sign and to increase the discrimination of other signs (out-of-class objects), a coherent optical technique for averaging a training set of in- class objects is designed and implemented.
Proceedings ArticleDOI
The study on speech processing and character recognition at Telecommunication Laboratories (TL)
Bor-Shenn Jeng,Chi-Shi Liu,Tsann-Shyong Liu,Eng-Fong Hwang,Wern-Jun Wang,Pei-Yih Ting,Kuang-Yao Chang +6 more
TL;DR: The current progress in speech processing and character recognition at the Telecommunications Laboratories (TL) is discussed, including speech processing of Mandarin: speech synthesis and recognition and Chinese character recognition: printed character recognition and hand-written character recognition.
Proceedings ArticleDOI
An OCR based translation system between simplified and complex Chinese characters
TL;DR: A new automatic translation system between simplified and complex Chinese characters based on OCR approaches is proposed in this paper and can demonstrate an efficient feature extraction algorithm for recognizing either complex or simplified printed Chinese characters.
Book ChapterDOI
Optical Correlation Methods in Epigraphy
TL;DR: An overview of the recognition problem and the possible approaches for solution in epigraphy is given and examples on the averaging of patterns, feature extraction, and the system configuration design are given.