Mending broken handwriting with a macrostructure analysis method to improve recognition

Pattern Recognition Letters

Volumn 20, Issue 8, 1999, Pages 855-864

  Wang, Jianguo ^a   Yan, Hong ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Broken character mending; Handwriting recognition; Macrostructure analysis; Skeleton orientation; Stroke end extension

Indexed keywords

MACROSTRUCTURE ANALYSIS (MSA) MENDING METHODS;

IMAGE ANALYSIS; PATTERN RECOGNITION SYSTEMS;

OPTICAL CHARACTER RECOGNITION;

EID: 0032681133     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00052-5     Document Type: Article

References (14)

1. Cao J., Ahmadi M., Shridhar M. Recognition of handwritten numerals with multiple feature and multistage classifier. Pattern Recognition. 28(2):1995;153-160.
2. Cheng D., Yan H. Recognition of broken and noisy handwritten characters using statistical methods based on a broken-character-mending algorithm. Optical Engineering. 36(5):1997;1465-1479.
3. Cheng D., Yan H. Recognition of handwritten digits based on contour information. Pattern Recognition. 31(3):1998;235-255.
4. Gariss, M.D., Wilkinson, R.A., 1992. Handwritten segmented characters database. Technical Report Special Database 3, HWSC, US National Institute of Standards and Technology (NIST).
5. Nishida, H., Suzuki, T., Mori, S., 1992. Thin line representation from contour representation of handprinted characters. In: Impedovo, S., Simon, J.C. (Eds.), From Pixels to Features III. Amsterdam.
6. Pavlidis, T., 1987. Algorithms for Graphics and Image Processing. Computer Science Press, Rockville, MD, USA, ISBN 0-914894-65-X.
7. Rocha, J., Pavlidis, T., 1995. Character recognition without segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (9), 903-909.
8. Suen C.Y., Nada C., Legault R., Mai T.A., Lam L. Computer recognition of unconstrained handwritten numerals. Proceedings of IEEE. 80(7):1992;1162-1180.
9. Suen C.Y., Legault R., Nadal C., Cheriet M., Lam L. Building a new generation of handwriting recognition systems. Pattern Recognition Letters. 14:1993;303-315.
10. Suzuki, T., Mori, S., 1994. Structural Description of line images by the cross section sequence graph. In: Suen, C.Y., Wang, P.S.P. (Eds.), Thinning Methodologies for Pattern Recognition. Singapore, ISBN 981-02-1482-0.
11. Wang P.S.P., Zhang Y.Y. A fast and flexible thinning algorithm. IEEE Transactions on Computers. 38(5):1989;741-745.
12. Whichello A.P., Yan H. Recognition of character skeletons using Gabor filter features. Electronic Letters. 31(22):1995;1911-1912.
13. Whichello A.P., Yan H. Linking broken character borders with variable sized masks to improve recognition. Pattern Recognition. 29(8):1996;1429-1435.
14. Yan H. Handwritten digit recognition using an optimised nearest neighbour classifier. Pattern Recognition Letters. 15:1994;207-211.