Lexicon reduction using key characters in cursive handwritten words

Abstract The concept of key characters in a cursively handwritten word image is introduced and a method for extracting the key characters is presented. Key characters capture the unambiguous parts of the cursive words that can be reliably segmented and recognized. We propose a method for lexicon reduction using key characters in conjunction with a word-length estimation.

[1]  Paul D. Gader,et al.  Handwritten Word Recognition Using Segmentation-Free Hidden Markov Modeling and Segmentation-Based Dynamic Programming Techniques , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  J.-C. Simon,et al.  Off-line cursive word recognition , 1992, Proc. IEEE.

[3]  Prasun Sinha,et al.  A system for cursive handwritten address recognition , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[4]  Sargur N. Srihari,et al.  Recognition of handwritten and machine-printed text for postal address interpretation , 1993, Pattern Recognit. Lett..

[5]  Sargur N. Srihari,et al.  Off-Line Cursive Script Word Recognition , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Jung-Hsien Chiang,et al.  Neural and Fuzzy Methods in Handwriting Recognition , 1997, Computer.