Title :
Fuzzy Recognition of Offline Handwritten Numeric Characters
Author :
Batuwita, K.B.M.R. ; Bandara, G.E.M.D.C.
Author_Institution :
Dept. of Stat. & Comput. Sci., Peradeniya Univ.
Abstract :
Offline handwritten character recognition involves the recognition of handwritten character patterns in digital images. This is a challenging computational problem mainly due to the vast differences associated with the handwritten patterns of different individuals. Fuzzy logic plays a major role in both offline and online handwritten character recognition, since a fuzzy system with an automatically generated rule base possesses the features of flexibility, efficiency and online adaptability. This paper presents an online adaptable fuzzy method for offline handwritten numeric character recognition
Keywords :
fuzzy logic; fuzzy set theory; handwritten character recognition; optical character recognition; digital image; fuzzy logic; fuzzy recognition; fuzzy system; handwritten pattern; offline handwritten numeric character recognition; online adaptable fuzzy method; optical character recognition; Character recognition; Digital images; Fuzzy logic; Fuzzy systems; Handwriting recognition; Hidden Markov models; Image recognition; Pattern recognition; Statistical analysis; Statistics; OCR; fuzzy systems; handwritten character recognition; numaral recognition; online adaptability;
Conference_Titel :
Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0023-6
DOI :
10.1109/ICCIS.2006.252356
