Design of an analog CMOS fuzzy logic controller chip
Fuzzy Sets and Systems - Fuzzy systems
A New Hybrid Approach to Handwritten Address Verification
International Journal of Computer Vision
On-line handwritten digit recognition based on trajectory and velocity modeling
Pattern Recognition Letters
Design of a new intelligent CMOS controller chip for control water level in tanks
MINO'10 Proceedings of the 9th WSEAS international conference on Microelectronics, nanoelectronics, optoelectronics
Handwritten character recognition systems using image-fusion and fuzzy logic
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
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Fuzzy logic is applied to the problem of locating and reading street numbers in digital images of handwritten mail. A fuzzy rule-based system is defined that uses uncertain information provided by image processing and neural network-based character recognition modules to generate multiple hypotheses with associated confidence values for the location of the street number in an image of a handwritten address. The results of a blind test of the resultant system are presented to demonstrate the value of this new approach. The results are compared to those obtained using a neural network trained with backpropagation. The fuzzy logic system achieved higher performance rates