The nature of statistical learning theory
The nature of statistical learning theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Chaincode Contour Processing for Handwritten Word Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Use of Lexicon Density in Evaluating Word Recognizers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Off-Line Handwritten Chinese Character Recognition as a Compound Bayes Decision Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
A numeral character recognition using the PCA Mixture model
Pattern Recognition Letters
Touching numeral segmentation using water reservoir concept
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A System towards Indian Postal Automation
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Fast SVM Training Algorithm with Decomposition on Very Large Data Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Numeric Postal Codes from Multi-script Postal Address Blocks
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
A handwritten Bangla numeral recognition scheme based on expanded two-layer SOM
International Journal of Intelligent Systems Technologies and Applications
A classifier for Bangla handwritten numeral recognition
Expert Systems with Applications: An International Journal
Face recognition using difference vector plus KPCA
Digital Signal Processing
Expert Systems with Applications: An International Journal
Handwriting Recognition in Indian Regional Scripts: A Survey of Offline Techniques
ACM Transactions on Asian Language Information Processing (TALIP)
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
A statistical-topological feature combination for recognition of handwritten numerals
Applied Soft Computing
Hi-index | 0.01 |
A recognition system for handwritten Bangla numerals and its application to automatic letter sorting machine for Bangladesh Post is presented. The system consists of preprocessing, feature extraction, recognition and integration. Based on the theories of principal component analysis (PCA), two novel approaches are proposed for recognizing handwritten Bangla numerals. One is the image reconstruction recognition approach, and the other is the direction feature extraction approach combined with PCA and SVM. By examining the handwritten Bangla numeral data captured from real Bangladesh letters, the experimental results show that our proposed approaches are effective. To meet performance requirements of automatic letter sorting machine, we integrate the results of the two proposed approaches with one conventional PCA approach. It has been found that the recognition result achieved by the integrated system is more reliable than that by one method alone. The average recognition rate, error rate and reliability achieved by the integrated system are 95.05%, 0.93% and 99.03%, respectively. Experiments demonstrate that the integrated system also meets speed requirement.