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Pattern recognition technologies and applications recent advances /

"This book provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verificat...

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Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Verma, Brijesh., Blumenstein, Michael.
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
Subjects:
Pattern perception.
Pattern perception > Data processing.
Handwriting recognition
Elastic matching techniques
Signature verification
Forgery detection system
Speech recognition
Forensic analysis
Image pattern recognition
Face recognition
Occlusion sequence mining
Surveillance videos
Human detection
Static images
Visual pattern recognition
Logic synthesis
Signal processing systems
Support vector machines
Clustering methods
Online Access:View fulltext via EzAccess
Table of Contents:
  • 1. Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition
  • 2. Elastic Matching Techniques for Handwritten Character Recognition
  • 3. State of the Art in Off-Line Signature Verification
  • 4. An Automatic Off-Line Signature Verification and Forgery Detection System
  • 5. Introduction to Speech Recognition
  • 6. Seeking Patterns in the Forensic Analysis of Handwriting and Speech
  • 7. Image Pattern Recognition-Based Morphological Structure and Applications
  • 8. Robust Face Recognition Technique for a Real-Time Embedded Face Recognition System
  • 9. Occlusion Sequence Mining for Activity Discovery from Surveillance Videos
  • 10. Human Detection in Static Images
  • 11. A Brain-Inspired Visual Pattern Recognition Architecture and Its Applications
  • 12. Significance of Logic Synthesis in FPGA-Based Design of Image and Signal Processing Systems
  • 13. A Novel Support Vector Machine with Class-Dependent Features for Biomedical Data
  • 14. A Unified Approach to Support Vector Machines
  • 15. Cluster Ensemble and Multi-Objective Clustering Methods
  • 16. Implementing Negative Correlation Learning in Evolutionary Ensembles with Suitable Speciation Techniques
  • 17. A Recurrent Probabilistic Neural Network for EMG Pattern Recognition
  • Compilation of References
  • About the Contributors
  • Index.

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