Title :
Research of script figure character recognition algorithm based on fuzzy mathematics and D-S evidential theory
Author :
Chen Yi ; Wang Gai-Yun ; Chen Le-geng ; Li Bin
Author_Institution :
Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
Abstract :
The script figure character recognition is one of the key technologies for the solution of automatic data input to computer. For the random of writing and strokes deformation, the script figure character recognition is very difficult. The membership function of fuzzy mathematics is adopted in this paper. In order to improve the algorithm stability of the abstraction to the character, the characteristic vector is described fuzzily. The characteristic vector fuses by D-S rule and according as the fusion results, the script character is recognized. Through the experimental simulation, the results show that the recognition method is effective and superiority.
Keywords :
character recognition; fuzzy set theory; inference mechanisms; sensor fusion; D-S evidential theory; characteristic vector; fuzzy mathematics; multisensor information fusion; script figure character recognition algorithm; strokes deformation; Automatic control; Character recognition; Fuses; Fuzzy control; Mathematics; Pattern recognition; Reliability theory; Sensor fusion; Stability; Writing; D-S evidential theory; character recognition; characteristic vector; fuzzy mathematics; information fusion;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192758