An improved classification for cursive script recognition

Author

Duneau, Laurent ; Dorizzi, Bernadette

Author_Institution

Inst. Nat. des Telecommun., Evry, France

fYear

1993

fDate

20-22 Oct 1993

Firstpage

842

Lastpage

845

Abstract

The authors present a system able to recognize English words dynamically written on a digitizing tablet. It relies on a statistical approach, in which letters are first identified with a certain likelihood. A score is then given to each word in the dictionary for the final recognition. In order to optimize the allograph identification phase, a hierarchical classification algorithm allows one to group the allographs corresponding to a given letter and a given size. Performances on a database of 5000 words and a dictionary of 1000 words are very good and the extension to multi-scriptors is possible thanks to a partial relearning

Keywords

handwriting recognition; optical character recognition; pattern classification; statistical analysis; word processing; English words; allograph identification phase; cursive script recognition; database; dictionary; digitizing tablet; hierarchical classification algorithm; multi-scriptors; partial relearning; statistical approach; Classification algorithms; Clustering algorithms; Databases; Dictionaries; Feature extraction; Frequency; Microcomputers; Performance evaluation; Prototypes; Supervised learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on

Conference_Location

Tsukuba Science City

Print_ISBN

0-8186-4960-7

Type

conf

DOI

10.1109/ICDAR.1993.395606

Filename

395606