Syntactic and Structural Pattern Recognition (Nato ASI Subseries F: (45)).

Ferrate, Gabriel, Theo Pavlidis and Alberto Sanfeliu:

ISBN 10: 3540192093 / ISBN 13: 9783540192091

Published by Springer, 1988

About this Item

486 p. Like new. ISBN: 9783540192091 Sprache: Englisch Gewicht in Gramm: 1026.

Seller Inventory # 59370

Bibliographic Details

• Title: Syntactic and Structural Pattern Recognition (Nato ASI Subseries F: (45)).
• Publisher: Springer
• Publication Date: 1988
• Language: English
• ISBN 10: 3540192093
• ISBN 13: 9783540192091
• Binding: hardcover.
• Condition: Wie neu
• Weight: 1026 grams
• Seller catalogs:
  • Informatik, Hardware, Software

About this title

Synopsis

Thirty years ago pattern recognition was dominated by the learning machine concept: that one could automate the process of going from the raw data to a classifier. The derivation of numerical features from the input image was not considered an important step. One could present all possible features to a program which in turn could find which ones would be useful for pattern recognition. In spite of significant improvements in statistical inference techniques, progress was slow. It became clear that feature derivation was a very complex process that could not be automated and that features could be symbolic as well as numerical. Furthennore the spatial relationship amongst features might be important. It appeared that pattern recognition might resemble language analysis since features could play the role of symbols strung together to form a word. This led. to the genesis of syntactic pattern recognition, pioneered in the middle and late 1960's by Russel Kirsch, Robert Ledley, Nararimhan, and Allan Shaw. However the thorough investigation of the area was left to King-Sun Fu and his students who, until his untimely death, produced most of the significant papers in this area. One of these papers (syntactic recognition of fingerprints) received the distinction of being selected as the best paper published that year in the IEEE Transaction on Computers. Therefore syntactic pattern recognition has a long history of active research and has been used in industrial applications.