Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
Understanding Neural Networks and Fuzzy Logic: Basic Concepts and Applications
Understanding Neural Networks and Fuzzy Logic: Basic Concepts and Applications
Bidirectional Deformable Matching with Application to Handwritten Character Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Genetic-Based Method for Learning the Parameters of a Fuzzy Inference System
ANNES '95 Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems
Extracting meaningful handwriting features with fuzzy aggregation method
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
A new type of recurrent neural network for handwritten character recognition
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
International Journal of Knowledge-based and Intelligent Engineering Systems
A hybrid approach for automatic recognition of handwritten devanagari numerals
International Journal of Hybrid Intelligent Systems
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The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Due to its low computational requirement, fuzzy logic is probably the most efficient method available for on-line character recognition. The most tedious task associated with using fuzzy logic for online character recognition involves the building of the rule-base that would describe the characters to be recognized. This problem is further complicated by the fact that different people write the same character in completely different ways. This paper describes a method that can be used to automatically generate a database containing the fuzzy membership values that describe the characters written by different individuals.