Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.

An Introduction to Character Recognition - L.C. Jain and B. LazzeriniRecognition of Handwritten Digits in the Real World by a Neocognitron - H. Shouno, K. Fukushima and M. OkadaRecognition of Rotated Patterns Using Neocognitron - S. Satoh, J. Kunoiwa, H. Aso and S. MiyukeSoft Computing Approach to Hand-written Numeral Recognition - J. F. Baldwin, T. P. Martin, and O. StylianidisHandwritten Character Recognition Using an MLP - F. Sorbello, G. A. M. Gioiello, and S. VitabileSignature Verification Based on Fuzzy Genetic Algorithm - J. N. K. Liu, and G. S. K. FungApplication of a Generic Neural Network to Handwritten Digit Classification - D. S. Banarse and A. Duller High-speed Recognition of Handwritten Amounts On Italian Checks - B. Lazzerini, L. M. Reyneri , F. Gregoretti, and A. MarianiOff-line Handwritten Word Recognition Using Hidden Markov Models - A. El-Yacoubi, R. Sabourin, M. Gilloux and C. Y. SuenOff-line Handwriting Recognition with Context Dependent Fuzzy Rules - A. Malaviya, F. Ivancic, J. Balasubramaniam and L. PetersLicense-plate Recognition - M. H. Brugge, J. A. G. Nijihuis, L. Spaanenburg, and J. H. StevensIndex