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http://dx.doi.org/10.3745/KIPSTB.2003.10B.4.443

Hierarchical Recognition of English Calling Card by Using Multiresolution Images and Enhanced RBF Network  

Kim, Kwang-Baek (신라대학교 컴퓨터공학과)
Kim, Young-Ju (신라대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartB / v.10B, no.4, 2003 , pp. 443-450 More about this Journal
Abstract
In this paper, we proposed the novel hierarchical algorithm for the recognition of English calling cards that processes multiresolution images of calling cards hierarchically to extract individual characters and recognizes the extracted characters by using the enhanced neural network method. The hierarchical recognition algorithm generates multiresolution images of calling cards, and each processing step in the algorithm selects and processes the image with suitable resolution for lower processing overhead and improved output. That is, first, the image of 1/3 times resolution, to which the horizontal smearing method is applied, is used to extract the areas including only characters from the calling card image, and next, by applying the vertical smearing and the contour tracking masking, the image of a half time resolution is used to extract individual characters from the character string areas. Lastly, the original image is used in the recognition step, because the image includes the morphological information of characters accurately. And for the recognition of characters with diverse font types and various sizes, the enhanced RBF network that improves the middle layer based on the ART1 was proposed and applied. The results of experiments on a large number of calling card images showed that the proposed algorithm is greatly improved in the performance of character extraction and recognition compared with the traditional recognition algorithms.
Keywords
Hierarchical Recognition Algorithm; Smearing Method; Contour Tracking Masking; Enhanced RBF Network;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 김광백, 김철기, 김정원, '윤곽선 추척 알고리즘과 개선된 ART1을 이용한 영문 명함 인식에 관한 연구,' 한국지능정보시스템학회논문지, 제8권 제2호, pp.105-115, 2002   과학기술학회마을
2 Gonzalez and Woods, Digital Image Processing Second Edition, Prentice Hall, 2002
3 김성영, 권태균, 김민환, '추적에 의한 단순화된 윤곽선 추출,' 한국멀티미디어학회, 춘계학술발표논문집, pp.356-361, 1999
4 K. Y. Wang, R. G. Casey and F. M. J. Wahl, 'Document analysis system,' IBM J. Res. Develop.26, No.6, pp.647-656, 1982   DOI
5 Abhijit, S. Pandya and Robert, B. Macy, Pattern Recognition with Neural Networks in C++, CRC Press, 1996
6 J. Park and I. W. Sandberg, 'Universal Approximation Using Radial Basis Function Network,' Neural Comp, Vol.3, pp.246-257, 1991   DOI
7 K. S. Fu adn A. Rosenfeld, 'Pattern recognition and computer vision,' IEEE Computer, pp.247-282, Oct., 1984   DOI   ScienceOn
8 원남식, 손윤구, '8-이웃 연결 값에 의한 병렬 세션화 알고리즘,' 정보처리학회논문지, 제2권 제5호, pp.701-710, 1995
9 G. Nagy, S. C. Seth and S. D. Stoddard, 'Document analysis with an expert system,' Proceedings of Pattern Recognition in Practice II, Amsterdam, pp.19-21, 1985
10 R. C. Gonzalez and P. Wintz, Digital Image Processing, Addison-Wesley Publishing Company Inc., pp.88-102, 1977
11 Robert Schalkoff, Pattern Recognition : Statistical, Stuctural and Neural Approaches, John Wiley & Sons, 1992
12 Richard O.Duda, Peter E.Hart and David G. Stork, Pattern Classification, 2nd ed., John Wiley & Sons, 2001
13 김광백, '효과적인 운송 컨네이너 영상의 식별자 인식을 위한 개선된 퍼지 ART 알고리즘,' 한국통신학회논문지, 제28권 제5C호, pp.486-492, 2003   과학기술학회마을
14 M. Watanabe, K. Kuwata and R. Katayma, 'Adaptive Tree-Structured Self Generating Radial Basis Function and its Application to Nonlinear Identification Problem,' Proceedings of IIZUKA, pp.167-170, 1994
15 C. Panchapakesan, D. Ralph, and M. Palaniswami, 'Effects of Moving the Centers in an RBF Network,' Proceedings of IJCNN, Vol.2, pp.1256-1260, 1998   DOI
16 K. B. Kim and H. W. Yun, 'A Study on Recognition of Bronchogenic Cancer Cell Image Using a New Physiological Fuzzy Neural Networks,' Japanese Journal of Medical Electronics and Biological Engineering, Vol.13, No.5, pp. 39-43, 1999
17 H. J. Zimmermann, Fuzzy set Theory and its Applications, Kluwer Academic Publishers, 1991