Knowledge-Based Intelligent Techniques in Character Recognition

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.This resource will interest anyone involved in computer science, computer engineering, applied mathematics, or related fields. It will also be of use to researchers, application engineers and students who wish to develop successful character recognition systems such as those used in reading addresses in a postal routing system or processing bank checks.Features

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

Lakhmi C. Jain, Beatrice Lazzerini