Automatic reading of cursive scripts using a reading model and perceptual concepts: The PERPECTO system

被引:41
作者
Côté M. [1 ,2 ,3 ,4 ]
Lecolinet E. [1 ]
Cheriet M. [2 ]
Suen C.Y. [3 ]
机构
[1] ENST, SIG / CNRS URA 820, F-75634 Paris Cedex 13
[2] E.T.S, Université du Québec, Montréal, QC H3C 1K3
[3] CENPARMI, Concordia University, Montréal, QC H3G 1M8, Suite GM-606
[4] INO, Ste-Foy, QC G1P 4N8, 369, Rue Franquet
关键词
Activation; Cursive script recognition; Offline recognition; Perception; Reading model;
D O I
10.1007/s100320050002
中图分类号
学科分类号
摘要
This paper presents a model for reading cursive scripts which has an architecture inspired by the behavior of human reading and perceptual concepts. The scope of this study is limited to offline recognition of isolated cursive words. First, this paper describes McClelland and Rumelhart's reading model, which formed the basis of the system. The method's behavior is presented, followed by the main original contributions of our model which are: the development of a new technique for baseline extraction, an architecture based on the chosen reading model (hierarchical, parallel, with local representation and interactive activation mechanism), the use of significant perceptual features in word recognition such as ascenders and descenders, the creation of a fuzzy position concept dealing with the uncertainty of the location of features and letters, and the adaptability of the model to words of different lengths and languages. After a description of our model, new results are presented. © 1998 Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:3 / 17
页数:14
相关论文
共 31 条
[1]  
Bartneck N., The role of handwriting recognition in future reading systems, Proceedings of the Fifth International Workshop on Frontiers in Handwriting Recognition, pp. 147-176, (1996)
[2]  
Bouma H., Visual recognition of isolated lower-case letters, Vision Research, 11, pp. 459-474, (1971)
[3]  
Bozinovic R.M., Srihari S.H., Off-line cursive script word recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, pp. 68-83, (1989)
[4]  
Casey R.G., Lecolinet E., A survey of methods and strategies in character segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 7, pp. 690-706, (1996)
[5]  
Chen M.Y., Kundu A., An alternative to variable duration HMM in handwritten word recognition, Proceedings of the International Workshop on Frontiers in Handwriting Recognition, pp. 82-91, (1993)
[6]  
Cheriet M., Suen C.Y., Extraction of key letters for cursive script recognition, Pattern Recognition Letters, 11, pp. 1009-1017, (1993)
[7]  
Coltheart M., Rastle K., Serial processing in reading aloud: Evidence for dual-route models of reading, J. Experimental Psychology: Human Perception and Performance, 20, pp. 1197-1211, (1994)
[8]  
Cote M., Lecolinet E., Cheriet M., Suen C.Y., Building a perception based model for reading cursive script, Proceedings Third ICDAR 95, 2, pp. 898-901, (1995)
[9]  
Cote M., Lecolinet E., Cheriet M., Suen C.Y., Using reading models for cursive script recognition, Handwriting and Drawing Research: Basic and Applied Issues, pp. 299-313, (1996)
[10]  
Cote M., Lecolinet E., Cheriet M., Suen C.Y., Lecture automatique d'écriture cursive utilisant des concepts perceptuels, Actes de congrès de l'Association canadienne-française pour l'avancement de la science, (1996)