Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
A technique for computer detection and correction of spelling errors
Communications of the ACM
A new segmentation technique for omnifont Farsi text
Pattern Recognition Letters
Pattern Recognition Letters
Lexicon Reduction in an HMM-Framework Based on Quantized Feature Vectors
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Serial classifier combination for handwritten word recognition
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Handwritten Sentence Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Recognising handwritten Arabic manuscripts using a single hidden Markov model
Pattern Recognition Letters
Lexical Post-Processing Optimization for Handwritten Word Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Pattern Recognition Letters
Arabic Handwriting Recognition Competition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Pre-processing Methods for Handwritten Arabic Documents
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Offline Arabic Handwriting Recognition: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Zero knowledge hidden Markov model inference
Pattern Recognition Letters
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Binary segmentation with neural validation for cursive handwriting recognition
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A neuro-fuzzy inference engine for Farsi numeral characters recognition
Expert Systems with Applications: An International Journal
Binary segmentation algorithm for English cursive handwriting recognition
Pattern Recognition
Arabic handwriting recognition using structural and syntactic pattern attributes
Pattern Recognition
Offline arabic handwritten text recognition: A Survey
ACM Computing Surveys (CSUR)
Effect of delayed strokes on the recognition of online Farsi handwriting
Pattern Recognition Letters
Hi-index | 0.10 |
Unlike many other languages, 18 out of 32 Farsi characters have dots appearing in groups of one, two or three. Some of these letters share common primary shapes, differing only in the number of dots and whether the dots are above or below the primary shape. In this paper, a new concept of using dots in a cursively handwritten Farsi/Arabic word is introduced for lexicon reduction and a fast method for extracting dots is presented. The technique involves extraction and representation of number and position of dots from off-line handwritten words to eliminate unlikely candidates. Experimental results on a set of 12,000 handwritten word images yield a lexicon reduction of 93% with accuracy of 85%. The proposed lexicon reduction algorithm achieves the speedup factor of 2 as well as 13% improvement in recognition rate.