Pattern Recognition and String Matching

  • Dechang Chen
  • Xiuzhen Cheng

Part of the Combinatorial Optimization book series (COOP, volume 13)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Ricardo Barandela, Eduardo Gasca, Roberto Alejo
    Pages 1-41
  3. Bir Bhanu, Yingqiang Lin, Bing Tian
    Pages 73-103
  4. Dechang Chen, Michael A. Fries, YingChang Xiang
    Pages 131-134
  5. Juan José Rodríguez Diez, Carlos J. Alonso González
    Pages 135-153
  6. Giorgio Giacinto, Fabio Roli
    Pages 195-218
  7. Michal Haindl
    Pages 219-254
  8. Lawrence Holder, Diane Cook, Jesus Gonzalez, Istvan Jonyer
    Pages 255-279
  9. Krassimir Ianakiev, Venu Govindaraju
    Pages 281-294
  10. Xiaoyi Jiang, Horst Bunke
    Pages 295-314
  11. Damián López, José Ruiz, Pedro García
    Pages 341-351
  12. Carlos D. Martínez-Hinarejos, Alfons Juan, Francisco Casacuberta
    Pages 465-476
  13. Andrés Marzal, Ramón Mollineda, Guillermo Penis, Enrique Vidal
    Pages 477-497
  14. Edgard Nyssen, Bart Truyen, Hichem Sahli
    Pages 545-563
  15. Pavel Pudil, Jana Novovičová, Petr Somol
    Pages 565-615
  16. Rosa Maria Romano, Domenico Vitulano
    Pages 617-646
  17. J. S. Sánchez, A. I. Marqués
    Pages 673-702
  18. Terry Windeatt, Reza Ghaderi
    Pages 741-763

About this book


The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines have been employed in pattern recognition. Among them is string matching, which receives much theoretical and practical attention. String matching is also an important topic in combinatorial optimization. This book is devoted to recent advances in pattern recognition and string matching. It consists of twenty eight chapters written by different authors, addressing a broad range of topics such as those from classifica­ tion, matching, mining, feature selection, and applications. Each chapter is self-contained, and presents either novel methodological approaches or applications of existing theories and techniques. The aim, intent, and motivation for publishing this book is to pro­ vide a reference tool for the increasing number of readers who depend upon pattern recognition or string matching in some way. This includes students and professionals in computer science, mathematics, statistics, and electrical engineering. We wish to thank all the authors for their valuable efforts, which made this book a reality. Thanks also go to all reviewers who gave generously of their time and expertise.


algorithms classification clustering cognition combinatorial optimization computer science feature selection handwriting handwriting recognition learning Matching neural networks optimization pattern pattern recognition

Editors and affiliations

  • Dechang Chen
    • 1
  • Xiuzhen Cheng
    • 2
  1. 1.University of Wisconsin — Green BayGreen BayUSA
  2. 2.The George Washington UniversityUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag US 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7952-2
  • Online ISBN 978-1-4613-0231-5
  • Series Print ISSN 1388-3011
  • Buy this book on publisher's site