Title :
Word recognition using fuzzy logic
Author :
Buse, Richard ; Liu, Zhi-Qiang ; Bezdek, Jim
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Univ. of Melbourne, Vic., Australia
fDate :
2/1/2002 12:00:00 AM
Abstract :
This paper presents an offline word-recognition system based on structural information in the unconstrained written word. Oriented features in the word are extracted with the Gabor filters. We estimate the Gabor filter parameters from the grayscale images. A two-dimensional fuzzy word classification system is developed where the spatial location and shape of the membership functions are derived from the training words. The system achieves an average recognition rate of 74% for the word being correctly classified in the top position and an average of 96% for the word being correctly classified within the top five positions
Keywords :
character recognition; fuzzy logic; Gabor filters; fuzzy logic; spatial location; two-dimensional fuzzy word classification system; unconstrained written word; word recognition; Computer science; Data mining; Feature extraction; Fuzzy logic; Fuzzy systems; Gabor filters; Gray-scale; Handwriting recognition; Image segmentation; Shape;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
