Cursive Word Recognition: Methods and Strategies
作者： Eric Lecolinet , Olivier Baret
DOI: 10.1007/978-3-642-78646-4_14
关键词:
摘要: Although researchers have been working on the field of cursive script recognition (CSR) for more than thirty years, existing systems are still limited to restricted applications and this research remains quite open. This paper aims present basic principles techniques used so far classify them according type strategy they based on. It will mainly focus off-line although most strategies presented here also valid on-line recognition.
springer.com
sci-hub.st 参考文章(57)
George M. Miller, Real-Time Classification of Handwritten Script Words. ifip congress. pp. 218- 223 ,(1971)
Charlotte M. Baltus, Rohini K. Srihari, Combining Statistical and Syntactic Methods in Recognizing Handwritten Sentences ,(1992)
Jonathan J. Hull, Language-Level Syntactic and Semantic Constraints Applied to Visual Word Recognition Fundamentals in Handwriting Recognition. pp. 289- 312 ,(1994) , 10.1007/978-3-642-78646-4_16
N. D. Gorsky, Off-line Recognition of Bad Quality Handwritten Words Using Prototypes Fundamentals in Handwriting Recognition. pp. 199- 217 ,(1994) , 10.1007/978-3-642-78646-4_10
K. H. Wong, Frank Fallside, Dynamic Programming in the Recognition of Connected Handwritten Script. CAIA. pp. 666- 670 ,(1985)
J. C. Simon, On the Robustness of Recognition of Degraded Line Images Fundamentals in Handwriting Recognition. pp. 175- 178 ,(1994) , 10.1007/978-3-642-78646-4_8
L. D. Earnest, Machine Recognition of Cursive Writing. ifip congress. pp. 462- 466 ,(1962)
Sargur N. Srihari, Computer Text Recognition and Error Correction IEEE Computer Society Press. ,(1985)
R. Plamondon, A model-based segmentation framework for computer processing of handwriting international conference on pattern recognition. pp. 303- 307 ,(1992) , 10.1109/ICPR.1992.201778
M. Martin Taylor, Insup Taylor, The Psychology of Reading ,(1983)