Unconstrained handwritten character recognition using metaclasses of characters

Proceedings - International Conference on Image Processing, ICIP

Volumn 2, Issue , 2005, Pages 2-542

  Koerich, Alessandro L ^a   Kalva, Pedro R ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

Character recognition; Combination of classifiers; Feature extraction; OCR; document image analysis

Indexed keywords

CHARACTER SETS; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; IMAGE PROCESSING;

CLASSIFIER COMBINATION; DOCUMENT IMAGE ANALYSIS; METACLASS CLASSIFIERS; MULTILAYER PERCEPTRON CLASSIFIERS (MLP);

CHARACTER RECOGNITION;

EID: 33749620053     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2005.1530112     Document Type: Conference Paper

References (8)

1. F. Camastra and A. Vinciarelli, "Cursive character recognition by learning vector quantization," Pattern Recognition Letters, vol. 22, pp. 625-629, 2001.
2. P. Gader, M. Whalen, M. Ganzberger, and D. Hepp, "Handprinted word recognition on a NIST data set," Machine Vision and Applications, vol. 8, pp. 31-41, 1995.
3. P. Pedrazzi and A. M. Colla, "Simple feature extraction for handwritten character recognition," in Proc. International Conference on Image Processing,Washington, USA, 1995, pp. 320-323.
4. M. Blumenstein and B. Verma, "Neural-based solutions for the segmentation and recognition of difficult handwritten words from a benchmark database," in Proc. 5th International Conference on Document Analysis and Recognition, Bangalore, India, 1999, pp. 281-284.
5. O. Trier, A. K. Jain, and T. Taxt, "Feature extraction methods for character recognition," Pattern Recognition, vol. 29, no. 4, pp. 641-662, 1996.
6. P. Gader, M. Whalen, M. Ganzberger, and D. Hepp. Handprinted word recognition on a NIST data set. Machine Vision and Applications, 8:31-41, 1995.
7. H. Takahashi and T. D. Griffin. Recognition enhancement by linear tournament verification. In Proc. International Conference on Document Analysis and Recognition, pages 585-588, Tsukuba, Japan, 1993.
8. H. Yamada and Y. Nakano. Cursive handwritten word recognition using multiple segmentation determined by contour analysis. IEICE Transactions on Information Systems, 79(5):464-470, 1996.