Zobrazeno 1 - 10
of 18
pro vyhledávání: '"San-wei Sun"'
Publikováno v:
ICPADS
A protocol standard can be implemented by different manufacturers. Therefore, conformance testing of protocol implementations to standards is important to achieve the main purpose of the open systems interconnection. In this paper, after briefly intr
Publikováno v:
SPIE Proceedings.
The block segmentation and block classification of digitized printed documents segmented into regions of texts, graphics, tables, and images are very important in automatic document analysis and understanding. Conventionally, the constrained run leng
Publikováno v:
Visual Communications and Image Processing '90: Fifth in a Series.
In this paper, an intelligent optical Chinese character recognition system using discrete-state Markovprocess has been developed to solve the input problem of Chinese characters. The doubly stochastic process encodes the distortion and similarity amo
Autor:
Jung-Kuei Chen, Cheng-Hsien Lin, Gwo-Hwa Ju, Jian-Hueng Chen, Shun-Fang Yang, Chung-Chieh Yang, San-Wei Sun
Publikováno v:
The Journal of the Acoustical Society of America. 122:26
The present invention provides a method for eliminating a musical tone from becoming a wind shear sound, which is used for the music recording file played in the GSM mobile communication system, such as the personal ring back tone. The method is to j
Publikováno v:
Proceedings of 1994 International Conference on Parallel & Distributed Systems; 1994, p438-444, 7p
Publikováno v:
Electronics Letters. 26:1530
An optical Chinese character recognition system using a hidden Markov model (HMM) classifier has been developed to solve the input problem of Chinese characters. The recognition rate for 5,401 multi-font characters reaches 97% on average for inside t
Publikováno v:
SPIE Proceedings.
The paper evaluates the applicability and results of several clustering and classification algorithms for optical Chinese character recognition. Emphases are laid on k-means clustering algorithms, Neural Nets classification, and Hidden Markov Model m
Autor:
Sun-Yuan Kung, San-Wei Sun
Publikováno v:
SPIE Proceedings.
This paper presents a flexible image segmentation and feature matching method based on dynamic programming techniques to resolve the spatial deformation of Optical Character Recognition (OCR) problems. A 2-subcycle thinning algorithm is presented to
Conference
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Conference
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