Research on Chinese financial invoice recognition technology

Pattern Recognition Letters

Volumn 24, Issue 1-3, 2003, Pages 489-497

  Ming, Delie ^a,b   Liu, Jian ^b   Tian, Jinwen ^b  

^a NANJING UNIVERSITY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Characters segmentation; Financial invoice recognition; Mutual rectification mechanism; Optical character recognition; Slant image rectification

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; PROBLEM SOLVING;

FINANCIAL INVOICE RECOGNITION TECHNOLOGY;

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 0037230839     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(02)00271-4     Document Type: Article

References (12)

1. Bunke, H., 1982. Automatic interpretation of text and graphics in circuit diagrams. Pattern Recogn. Theory Appl., 297-310.
2. Fletcher, L.A., Katsuri, R., 1987. Segmentation of binary images into text strings and graphics. SPIE Appl. Artif. Intell. 786, 533-540.
3. Green, E., Krishnamoorthy, M., 1995. Model-based analysis of printed tables. In: International Conference on Document Analysis and Recognition, 1, pp. 214-217.
4. Hu, J., Yang, X., 1996. Handwritten Chinese character recognition system. J. Software (10), 15-20.
5. Karima, M., Sadahl, K.S., McNeil, T.O., 1985. From paper drawings to computer aided design. IEEE Comput. Graphics Appl., 24-39.
6. Lou, X., Hu, J., 1998. The segmentation and recognition of unconstrained handwritten numerals. In: The Latest Development of Computer Intelligent Interface and Intelligent Applications, 1, pp. 86-90.
7. Ming, D., Liu, J., Hu, J., 2000a. An improved algorithm for handwritten Chinese text segmentation. J. Huazhong Univ. Sci. Technol. 28 (2), 87-89.
8. Ming, D., Liu, J., Hu, J., 2000b. The slanting image detecting and rectifying technology in OCR system. J. Huazhong Univ. Sci. Technol. 28 (5), 66-68.
9. Mori, S., Sakura, T., 1984. Line filtering and its application to stroke segmentation of hand-printed Chinese characters, In: Proceedings of the 7th International Conference on Pattern Recognition, pp. 366-369.
10. Pavlidis, T., 1986. A vectorizer and feature extractor for document recognition. Comput. Vision Graphics Image Process. (35), 111-127.
11. Pizano, A., 1990. A line recognition algorithm for business form processing. Technical Report SRC901101. Ricoh Corporation Software Research Center. Santa Clara. CA, November 1990.
12. Shih, C.C., Katsuri, R., 1988. Generation of a line description file for graphics recognition. SPIE Appl. Artif. Intell. 937, 568-575.