Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
Word recognition using fuzzy logic
IEEE Transactions on Fuzzy Systems
A fuzzy logic system for the detection and recognition of handwritten street numbers
IEEE Transactions on Fuzzy Systems
Recognition of isolated handwritten Kannada numerals based on image fusion method
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
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To date, image segmentation is used as a vital step to developing handwritten character recognition systems. In the paper, image segmentation has been avoided by applying image fusion and fuzzy method to recognize handwritten characters. At first, several digital images corresponding to each handwritten character are fused to generate patterns, which are stored in 10×10 matrices, irrespective of the size of the images. The character to be recognized is matched with each pattern and the best match pattern is considered as the most likely choice. In the second phase of the work subjective judgment using fuzzy logic has been incorporated to improve the recognition rate where Gaussian distribution function, with varied mean and standard deviation are considered as fuzzy membership functions. Several binary images have been tested to demonstrate the effectiveness of the proposed system.