Handwritten word recognition by image segmentation and hidden Markov models

Author

Olivier, Christian ; Avila, Manuel ; Courtellemont, P. ; Paquet, T. ; Lecourtier, Y.

Author_Institution

La3i-LACIS, Rouen Univ., Mont-Saint-Aignan

fYear

1993

fDate

15-19 Nov 1993

Firstpage

2093

Abstract

In this paper, we propose a method for the recognition of handwritten literal amount on various bank checks. We present the pre-processing of the original 256 gray-levels image, containing inhomogeneous background, and the locating of the handwritten information. For recognition of the amount, we choose a Markovian approach, which is first applied to the sequences of words. The first results allow to consider an extension of the method to the sequences of graphems in words in order to improve the recognition rate

Keywords

hidden Markov models; image segmentation; optical character recognition; Markovian approach; bank checks; cheques; graphems; gray-levels image; gray-scale image; handwritten literal amount; handwritten word recognition; hidden Markov models; image segmentation; inhomogeneous background; nonhomogeneous background; preprocessing; word sequences; Failure analysis; Graphics; Handwriting recognition; Hidden Markov models; Image analysis; Image recognition; Image segmentation; Pixel; Postal services; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on

Conference_Location

Maui, HI

Print_ISBN

0-7803-0891-3

Type

conf

DOI

10.1109/IECON.1993.339399

Filename

339399