PLANG based specifications of patterns with variations for pictorial data bases
Computer Vision, Graphics, and Image Processing
A parsing algorithm for weighted grammars and substring recognition
Syntactic and structural pattern recognition
Fuzzy sets in pattern recognition: methodology and methods
Pattern Recognition
Recognition of handwritten and machine-printed text for postal address interpretation
Pattern Recognition Letters - Postal processing and character recognition
Toward robust handwritten character recognition
Pattern Recognition Letters - Postal processing and character recognition
Fuzzy logic software and hardware
Fuzzy logic and control
Representation and Recognition of Handwritten Digits Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hybrid Contextural Text Recognition with String Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fuzzy-Syntactic Approach to Allograph Modeling for Cursive Script Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Some considerations on fuzzy automata
Journal of Computer and System Sciences
Recognition of persian numeral fonts by combining the entropy minimized fuzzifier and fuzzy grammar
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing
Image and Vision Computing
Skeleton-Based Recognition of Chinese Calligraphic Character Image
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Binary segmentation with neural validation for cursive handwriting recognition
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Segment confidence-based binary segmentation (SCBS) for cursive handwritten words
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
The different methods for automatic pattern recognition are motivated by the way in which pattern classes are characterized and defined. In this paper, the handwritten characters (numerals) are preprocessed and segmented into primitives. These primitives are measured and labeled using fuzzy logic. Strings of a character are formed from these labeled primitives. To recognize the handwritten characters, conventional string matching is performed. However, the problem in this string matching has been avoided using the membership value of the string. This result is being compared with the Modified Parser generated from the Error-free fuzzy context-free grammar.