DocumentCode :
2869478
Title :
Needs and seeds in character recognition
Author :
Nakano, Yasuaki
Author_Institution :
Dept. of Inf. Eng., Shinshu Univ., Nagano, Japan
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
140
Abstract :
Discusses the relation between technical seeds in character recognition and market needs. The seeds can meet the market needs providing that the seeds are at a high enough level. The character recognition techniques used so far however, have not matured owing to many constraints. In other words, human beings have made many artificial limitations so as to put premature OCR techniques into practical use. The technical progress and competition are making these constraints unnecessary. In this context, unconstrained OCR techniques are explained
Keywords :
hidden Markov models; image segmentation; majority logic; neural nets; optical character recognition; character recognition techniques; market needs; technical seeds; unconstrained OCR; Application software; Character recognition; Error analysis; Humans; Ink; Marketing and sales; National electric code; Optical character recognition software; Optical computing; Postal services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.902883
Filename :
902883
Link To Document :
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