In character recognition using the pattern matching method, it is difficult to collect a large number of sample patterns for creating a dictionary image for character types that appear infrequently.
In this paper, we propose a new dictionary image estimation method using transfer functions in the frequency domain, which is considered to be generally effective for such cases.