Off-Line Cursive Script Word Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Survey and bibliography of Arabic optical text recognition
Signal Processing
Artificial Neural Networks: A Tutorial
Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Role of Holistic Paradigms in Handwritten Word Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combination of Local and Global Vision Modelling for Arabic Handwritten Words Recognition
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Confidence Evaluation for Combining Diverse Classifiers
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
HMM Based Approach for Handwritten Arabic Word Recognition Using the IFN/ENIT- Database
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Confidence Transformation for Combining Classifiers
Pattern Analysis & Applications
WAV'09 Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science
Using diversity in classifier set selection for arabic handwritten recognition
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Arabic bank check analysis and zone extraction
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Classifiers combination for arabic words recognition: application to handwritten algerian city names
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
New dynamic classifiers selection approach for handwritten recognition
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Offline arabic handwritten text recognition: A Survey
ACM Computing Surveys (CSUR)
International Journal of Knowledge-based and Intelligent Engineering Systems
Hi-index | 0.00 |
Automatic handwriting recognition has a variety of applications in real world problems, such as mail sorting and check processing. Recently, it has been demonstrated that combining the decisions of several classifiers and integrating multiple information sources can lead to better recognition results. This article presents an approach for recognizing handwritten Arabic literal (legal) amounts. The proposed system uses a set of holistic structural features to describe the words. These features are presented to three classifiers: multilayer neural network, k nearest neighbor, and fuzzy k nearest neighbor. The classification results are then combined using several schemes; we retained the score summation one for this work. A syntactic post-classification process is then carried out to find the best match among the candidate words. The performance of this approach is superior to the system which ignores all contextual information and simply relies on the recognition scores of the recognizers.