Machine recognition and generation of Chinese characters has been a challenging research subject due to the structural complexity of the characters. There are about 40,000 Chinese characters in total and about 5,000 in daily use. An exhaustive approach to recognizing or generating all Chinese characters is almost infeasible in practice. Consequently, most techniques try to segment the characters into suhpatterns, called roots, which form a basis used to compose Chinese characters. The number of roots to be dealt with is much smaller than the number of Chinese characters. Therefore, the character-gap, is a useful and natural feature to segment the characters.