Abstract
Segmentation of handwritten touching characters is an important research topic in Optical Character Recognition (OCR). Finding the initial candidate segmentation points is the first important step. A method is described to locate the initial candidate segmentation regions based on the boundary analysis of a character string. This method can reduce the redundant searching regions significantly. Therefore, the segmentation reliability can be increased and the segmentation time can be reduced.
Chapter PDF
References
Casey, R. G., Lecolinet, E.: A survey of methods and strategies in character segmentation. IEEE Trans. Anal. and Mach. Intell. 18 (1996) 690–706
Lu Y., Shridhar, M.: Character segmentation in handwritten words — an overview. Pattern Recognition 29 (1996) 77–96
Casey, R. G., Nagy, G.: Recursive segmentation and classification of composite patterns. in Proc. Sixth Int'l Conf. Pattern Recognition, (1982) 1023–1026
Shridhar, M., Badreldin, A.: Recognition of isolated and simply connected handwritten numerals. Pattern Recognition 19 (1986) 1–12
Bayer T. A., Kreßel, U. H.-G.: Cut classification for segmentation. in Proc. Int'l Document Analysis and Recognition, (1993) 565–568
Westall, J. M., Narasimha, M. S.: Vertex directed segmentation of handwritten numerals. Pattern Recognition 26 (1993) 1473–1486
Fujisawa, H., Nakano, Y., Kuriro, K.: Segmentation methods for character recognition: From segmentation to document structure analysis. Proc. of the IEEE 80 (1992) 1079–1092
Strathy, N. W., Suen, C. Y., Krzyzak, A.: Segmentation of handwritten digits using contour features. in Proc. 2nd Int'l Conf Document Analysis and Recognition, (1993) 577–580
Hu, J., Yu, D., Yan, H.: Algorithm for stroke width compensation of handwritten characters. Electronics Letters 32 (1996) 2221–2222
Yu, D., Yan, H.: An efficient algorithm for smoothing, linearization and detection of structural feature points of binary image contours. Pattern Recognition 30 (1997) 57–69
Hu, J., Yu, D., Yan, H.: A multiple point boundary smoothing algorithm. Pattern Recognition Letters, accepted.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hu, J., Yan, H. (1998). Locating segmentation regions of connected handwritten digits. In: Amin, A., Dori, D., Pudil, P., Freeman, H. (eds) Advances in Pattern Recognition. SSPR /SPR 1998. Lecture Notes in Computer Science, vol 1451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033273
Download citation
DOI: https://doi.org/10.1007/BFb0033273
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64858-1
Online ISBN: 978-3-540-68526-5
eBook Packages: Springer Book Archive