On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
Automatic Recognition of Unconstrained Off-Line Bangla Handwritten Numerals
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Handwritten ZIP code recognition using lexicon free word recognition algorithm
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
The Independent Components of Characters are 'Strokes'
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Recognition of Printed and Handwritten Tamil Characters Using Fuzzy Approach
ICCIMA '05 Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
An overview of character recognition focused on off-line handwriting
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A hierarchical approach to recognition of handwritten Bangla characters
Pattern Recognition
Topological features for recognizing printed and handwritten Bangla characters
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
Handwriting Recognition in Indian Regional Scripts: A Survey of Offline Techniques
ACM Transactions on Asian Language Information Processing (TALIP)
Handwritten kannada vowel character recognition using crack codes and fourier descriptors
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Proceeding of the workshop on Document Analysis and Recognition
Hi-index | 0.00 |
Recently, a few works on recognition of handwritten Bangla characters have been reported in the literature. However, there is scope for further research in this area. In the present article, results of our recent study on recognition of handwritten Bangla basic characters will be reported. This is a 50 class problem since the alphabet of Bangla has 50 basic characters. In this study, features are obtained by computing local chain code histograms of input character shape. Comparative recognition results are obtained between computation of the above feature based on the contour and one-pixel skeletal representations of the input character image. Also, the classification results are obtained after down sampling the histogram feature by applying Gaussian filter in both these cases. Multilayer perceptrons (MLP) trained by backpropagation (BP) algorithm are used as classifiers in the present study. Near exhaustive studies are done for selection of its hidden layer size. An analysis of the misclassified samples shows an interesting error pattern and this has been used for further improvement in the recognition results. Final recognition accuracies on the training and the test sets are respectively 94.65% and 92.14%.