Syntactic Pattern Recognition and Applications (Repost)

During the past two decades there has been a considerable growth of interest in problems of pattern recognition. This interest has created an increasing need of methods for use in the design of pattern recognition systems. Many different approaches have been proposed and a number of books have been published. Applications of pattern recognition include character recognition, target detection and identification, medical diagnosis, analysis of biomedical signals and images, remote sensing, speech recognition and understanding, identification of human faces and fingerprints, reliability, industrial automation (machine part recognition and automatic inspection), socioeconomics, and archaeology.
The many different techniques used to solve pattern recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach. This book treats the problems of pattern recognition and its applications by use of the syntactic approach. It describes theoretical methods as well as important applications. The book is intended to be of use both as a reference for system engineers and computer scientists and as a textbook for courses in pattern recognition. The presentation is kept concise, and background knowledge on formal languages and syntax analysis is included.