Title :
Hand-written digit recognition by one variable stochastic simulated annealing
Author :
Lee, Sunghun ; Chiwha Song ; Lee, Won Don
Author_Institution :
Korea Mobile Telecommun. Co., Daejeon, South Korea
Abstract :
This paper presents the experimental results of hand-written digit recognition. This neural approach is based on the graph matching, a form of elastic matching, and one-variable stochastic simulated annealing (OVSSA) which is a mean-field annealing algorithm to find a global minimum of a real valued function. Experimental results show that this method is insensitive to displacement, scale changes and rotation, and promising to hand-written character recognition.
Keywords :
neural nets; optical character recognition; simulated annealing; displacement insensitivity; elastic matching; global minimum; graph matching; hand-written digit recognition; handwritten character recognition; mean-field annealing algorithm; neural approach; one-variable stochastic simulated annealing; real-valued function; rotation insensitivity; scale insensitivity; Character recognition; Computational modeling; Computer science; Computer simulation; Educational institutions; Mobile computing; Pattern matching; Pattern recognition; Simulated annealing; Stochastic processes;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.716906
