Detailed typeface identification by modeling observed character image

In this paper, a novel approach is proposed to identify the detailed typefa ce of Gothic characters in document images. The identification is performed by evaluating two types of typeface models, named the Gs-pattern and the G d-pattern according to the principle of MDL. The typeface models are genera ted from the observed character image by using morphology and are viewed as approximating expressions of the observed character. Consequently, this me thod is unique in that it is free from both character recognition and dicti onary lookup.