A new methodology for gray-scale character segmentation and recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 18, Issue 10, 1996, Pages 1045-1050

  Lee, Seong Whan ^a,b,c   Lee, Dong June ^a,b,c   Park, Hee Seon ^a,b,c  

^a Korea University   (South Korea)

^b KT Cooperation   (South Korea)

^c SAMSUNG Electronics   (South Korea)

Author keywords

Character segmentation and recognition; Gray scale character recognition; Multistage graph search; Recognition based segmentation; Topographic feature

Indexed keywords

ALGORITHMS; CHARACTER RECOGNITION; DATA PROCESSING; FEATURE EXTRACTION; GRAPH THEORY; IMAGE ANALYSIS; IMAGE SEGMENTATION;

GRAY SCALE CHARACTER SEGMENTATION; MULTISTAGE GRAPH SEARCH ALGORITHMS; PRINTED DOCUMENTS; TOPOGRAPHIC FEATURE;

IMAGE PROCESSING;

EID: 0030261113     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.541415     Document Type: Article

References (14)

1. Y. Lu Machine Printed Character Segmentation-An Overview Pattern Recognition vol. 28 no. 1 pp. 67-80 Jan. 1995.
2. S. Kahan T. Pavlidis and H.S. Baird On the Recognition of Printed Characters of Any Fonts and Sizes IEEE Trans. Pattern Analysis and Machine Intelligence vol. 9 no. 2 pp. 274-288 Mar. 1987.
3. A. Ariyoshi. A Character Segmentation Method for Japanese Documents Coping with Touching Character Problems Proc. 11th Int'l Conf. Pattern Recognition The Hague Netherlands pp. 313-316 Aug. 1992.
4. S. T iang M. Shridhar and M. Ahmadi Segmentation of Touching Characters in Printed Document Recognition Pattern Recognition vol. 27 no. 6 pp. 825-840 June 1991.
5. S. Tsujimoto and H. Asada Major Components of a Complete Text Reading System Proceedings IEEE vol. 80 no. 7 pp. 1133-1149 July 1992.
6. T. Bayer and U. Kresel Cut Classification for Segmentation Proc. Second Int'l Conf. Document Analysis and Recognition Tsukuba Japan pp. 565-568 Oct. 1993.
7. L. Wang and T. Pavlidis Direct Gray Scale Extraction of Features lor Character Recognition /£££ Trans. Pattern Analysis and Machine Intelligence vol. 15 no. 10 pp. 1053-1067 Oct. 1993.
8. J. Rocha and T. Pavlidis A Solution to the Problem of Touching and Broken Characters Proc. Second Int'l Conf. Document Analysis and Recognition Tsukuba Japan pp. 602-605 Oct. 1993.
9. J. Wang and J. Jean Segmentation of Merged Characters by Neural Networks and Shortest Path Pattern Recognition vol. 27 no. 25 pp. 649-658 May 1994.
10. S.-W. Lee and Y.-J. Kirn Direct F.xtracrion of Topographic Features for Gray Scale Character Recognition IEEE Trans. Pattern Analysis and Machine Intelligence vol. 17 no. 7 pp. 724-729 July 1995.
11. E. Horowitz and S. Sahni Fundamentals of Computer Algorithms Rockville 111.: Computer Science Press 1989.
12. S.-W. Lee and J.-S. Kirn Multilingual Multifont and Multisize Large-set Character Recognition Using Self-Organizing Neural Network Proc.Third Int'l Conf. Document Analysis ana Recognition Montreal pp. 28-33 Aug. 1995.
13. D.-J. Lee and S.-W. Lee Character Segmentation and Recognition in Korean Document Mixed with Alphanumeric Characters Proc. Fall National Conf. Korea Information Science Soc. Seoul Korea pp. 403-406 Oct. 1994 (in Korean).
14. Hangul and Computer Co. Ltd. Hangul \Nordprocessor: Reference Manual Version 3.0b Seoul Korea 1995.