Beatrix: A self-learning system for off-line recognition of handwritten texts

Pattern Recognition Letters

Volumn 18, Issue 6, 1997, Pages 583-594

  Lazzerini, Beatrice ^a   Marcelloni, Francesco ^a   Reyneria, Leonardo Maria ^b  

^a UNIVERSITY OF PISA   (Italy)

^b POLITECNICO DI TORINO   (Italy)

Author keywords

Artificial neural networks; Character recognition; Contextual information; Handwriting recognition; Self learning

Indexed keywords

CHARACTER RECOGNITION; DATA REDUCTION; ERROR CORRECTION; INTERACTIVE COMPUTER SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS;

CONTEXTUAL INFORMATION;

LEARNING SYSTEMS;

EID: 0031163642     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(97)00039-1     Document Type: Article

References (14)

1. Costa, M., E. Filippi and E. Pasero (1994). Multi-Layer Perceptron ensembles for pattern recognition: Some experiments. In: Proc. ESANN'94, Bruxelles.
2. Crowner, C. and J. Hull (1991). A hierarchical pattern matching parser and its application to word shape recognition. In: Proc. 1st Internat. Conf. on Document Analysis and Recognition, Vol. 1, 323-331.
3. Evett, L., C. Wells, F. Keenan, T. Rose and R. Whitrow (1991). Using linguistic information to aid handwriting recognition. In: Proc. Internat. Workshop on Frontiers in Handwriting Recognition, 303-311.
4. Haykin, S. (1994). Neural Networks: A Comprehensive Foundation. McMillan College Publishing Company, New York.
5. Impedovo, S., Ed., (1994). Fundamentals in Handwriting Recognition. Springer, Berlin.
6. Kabir, E., A.C. Downton and R. Birch (1990). Recognition and verification of postcodes in handwritten and hand-printed addresses. In: Proc. 10th Internat. Conf. on Pattern Recognition, 469-473.
7. Le Cun, Y., B. Boser, J.S. Denker et al. (1989). Backpropagation applied to handwritten zip code recognition. Neural Computation, Vol. 1, Massachusetts Institute of Technology, MA, 540-551.
8. Lecolinet, E. and O. Baret (1994). Cursive word recognition: Methods and strategies. In: Impedovo, S., Ed., Fundamentals in Handwriting Recognition. Springer, Berlin, 235-264.
9. Lee, Y. (1991). Handwritten digit recognition using k-nearest neighbor, radial basis function and backpropagation neural networks. Neural Computation, Vol. 3. Massachusetts Institute of Technology, MA, 440-449.
10. Moody, J., J. Christian and J. Darken (1989). Fast Learning in Networks of Locally-Tuned Processing Units, Neural Computation, Vol. 1, Massachusetts Institute of Technology, MA, 281-294.
11. Moreau, J., B. Plessis, O. Bougeois and J. Plagnaud (1991). A postal check reading system. In: Proc. 1st Internat. Conf. on Document Analysis and Recognition, Vol. 1, 758-766.
12. Reyneri, L.M. (1995). Weighted radial basis functions for improved pattern recognition and signal processing. Neural Process. Lett. 2 (3), 2-6.
13. Reyneri, L.M. (1996). Unification of neural and fuzzy computing paradigms. In: Proc. AT'96, Lausanne, Switzerland.
14. Rocha, J. and T. Pavlidis (1995). Character recognition without segmentation. Pattern Anal. Machine Intell. 17 (9), 903-909.