A Lexicon-Driven Handwritten City-Name Recognition Scheme for Indian Postal Automation
Author:
Affiliation:
1. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute
2. Dept. of Computer Science, West Bengal University of Technology
3. Faculty of Engineering, Mie University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
http://www.jstage.jst.go.jp/article/transinf/E92.D/5/E92.D_5_1146/_pdf
Reference29 articles.
1. [1] A.L. Koerich, Y. Leydier, R. Sabourin, and C.Y. Suen, “A hybrid large vocabulary handwritten word recognition system using neural networks with hidden Markov models, ” Proc. 8th International Workshop on Frontiers in Handwriting Recognition, pp.99-104, 2002.
2. [2] F. Kimura, S. Tsuruoka, Y. Miyake, and M. Shridhar, “A lexicon directed algorithm for recognition of unconstrained handwritten words, ” IEICE Trans. Inf. & Syst., vol.E77-D, no.7, pp.785-793, July 1994.
3. Lexicon-driven segmentation and recognition of handwritten character strings for Japanese address reading
4. Off-line Arabic character recognition
5. [5] V. Märgner and H.E. Abed, “Arabic handwriting recognition competition, ” Proc. 9th International Conf. on Document Analysis and Recognition, pp.1274-1278, 2007.
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