Handwritten sentence recognition: from signal to syntax

Author

Plamondon, Réjean ; Clergeau, Stéphanie ; Barriére, Caroline

Author_Institution

Dept. of Electr. & Comput. Eng., Ecole Polytech. de Montreal, Que., Canada

Volume

2

fYear

1994

fDate

9-13 Oct 1994

Firstpage

117

Abstract

This paper describes a system dedicated to online handwritten sentence recognition. The prototype is made up of two basic processors. The first controls the data acquisition, pentip trace segmentation, letter identification. The second aims at identifying and correcting the words candidates by integrating syntactic and lexical information. Sentences are parsed to list the grammatical classes of each incorrect candidates then lexical query searches for words in a lexicon according to grammatical classes. A final decision is made using a string comparison algorithm. Tests of the complete system are reported at the end for a typical writer-dependent application

Keywords

character recognition; data acquisition; grammatical classes; letter identification; lexical information; lexical query searches; online handwritten sentence recognition; parsing; pentip trace segmentation; signal; string comparison algorithm; syntax; writer-dependent application; Application software; Data acquisition; Electronic equipment testing; Handwriting recognition; Laboratories; Natural languages; Performance evaluation; Process control; Prototypes; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on

Conference_Location

Jerusalem

Print_ISBN

0-8186-6270-0

Type

conf

DOI

10.1109/ICPR.1994.576887

Filename

576887