Tab Article
Integrates several artificial intelligence techniques, such as expert systems, neural networks, fuzzy systems, and evolutionary computing
Demonstrates how these techniques apply to character recognition systems
Introduces principles of signature verification for on-line and off-line systems
Discusses considerations about performance evaluation of handwriting recognition system
Describes a novel rotation-invariant neocognitron
Presents algorithms for recognizing handwritten characters using a multi-layer perceptron neural network
Profiles the contributions of an international panel
Includes real-world applications across many industries
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.
