Tm. Ha et H. Bunke, OFF-LINE, HANDWRITTEN NUMERAL RECOGNITION BY PERTURBATION METHOD, IEEE transactions on pattern analysis and machine intelligence, 19(5), 1997, pp. 535-539
This paper presents a new approach to off-line, handwritten numeral re
cognition. From the concept of perturbation due to writing habits and
instruments, we propose a recognition method which is able to account
for a variety of distortions due to eccentric handwriting. We tested o
ur method on two worldwide standard databases of isolated numerals, na
mely, CEDAR and NIST, and obtained 99.09 percent and 99.54 percent cor
rect recognition rates al no-rejection level, respectively. The latter
result was obtained by testing on more than 170,000 numerals.