Handwriting Digit Recognition With Fuzzy Logic

To recognize handwriting digit is not a difficult task for human, but for a computer, it could be very difficult. This project implements the Fuzzy Logic system to recognize the handwriting digit. There are 3 constraints need to be considered here, they are: the real data were written with the same pen; the real data will be scanned into image data and then converted to BW mode with other software outside this project; program will read image data file instead of capturing with special device such as camera. Software is implemented in matlab. The design of fuzzy logic will use fuzzy logic editor. Before processing with Fuzzy algorithm, it needs to process the image then to get its features. Only simple image processing technique will be used. Feature extraction was made with a vertical and two horizontal lines. The position of crossing point between these lines with the image data will be a feature. These pre-processed data will be an input parameter for the fuzzy system. The fuzzy system has 7 inputs and 1 output with 57 rules. The average result of recognizing process is 80 % after membership functions tuning