KNOWLEDGE-BASED RECOGNITION OF TYPED TEXT CHARACTERS
N. Bourbakis, A.T. Gumahad · International Journal of Pattern Recognition and Artificial Intelligence · 1991
The efficient recognition of typed characters is one of the interesting topics of research with significant application merit in the computerized administration and library domains. In this paper, we present the results of a non-conventional text character extraction technique, called the Horizontal–Vertical Projections (HVP) method. The development of a knowledge base by using Fourier Transform as a tool which creates the characters' main features for the knowledge base, improves the performance of the HVP as a text character recognition technique. Various problems and their solutions are discussed with the presentation of the knowledge-based character recognition process.