Title :
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
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;
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
DOI :
10.1109/IECON.1993.339399
