DocumentCode :
3057367
Title :
Hand-written text recognition based on a new formulation
Author :
Gong, Yifan ; Boyer, Anne
Author_Institution :
CRIN/CNRS & INRIA-Lorraine, Vandoeuvre, France
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
112
Lastpage :
115
Abstract :
The hand-written word recognition problem is formulated in two steps. In the first step, the plausibility of observing each character is computed as a function of sample index of a line. In the second step, word recognition is achieved by finding the word (sequence of characters) which maximizes the sum of plausibilities of individual characters which make up the word. The authors propose an efficient algorithm for the second step which makes use of peaks of plausibility functions and solves the maximization process by two embedded search processes: finding the best path connecting peaks of the plausibility functions of two successive characters, and finding the best transition sample index for two given peaks. In a preliminary experimentation, using template matching for character plausibility estimation, a 96% recognition rate was obtained for a cursive-writing-like font
Keywords :
character recognition; search problems; character observation plausibility; cursive-writing-like font; efficient algorithm; embedded search processes; hand-written word recognition; plausibility function peaks; sum-of-plausibilities maximization; template matching; text recognition; transition sample index; Character recognition; Commercialization; Databases; Dictionaries; Image recognition; Particle separators; Pixel; Text recognition; Vocabulary; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
Type :
conf
DOI :
10.1109/ICPR.1992.201733
Filename :
201733
Link To Document :
بازگشت