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Pattern Recognition Technologies and Applications Recent Advances~tqw~ darksiderg

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Pattern Recognition Technologies and Applications: Recent Advances
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Type.................: Ebook
Part Size............: 67,304,297 bytes




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Posted by............: ~tqw~

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Release Notes
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The nature of handwriting in our society has significantly altered over the ages
due to the introduction of new technologies such as computers and the World Wide
Web. With increases in the amount of signature verification needs, state of the
art internet and paper-based automated recognition methods are necessary.

Pattern Recognition Technologies and Applications: Recent Advances 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 verification, and gender classification.

Table Of Contents

Chapter I: Fusion of Segmentation Strategies for Off-Line Cursive Handwriting
Recognition
Chapter II: Elastic Matching Techniques for Handwritten Character Recognition
Chapter III: State of the Art in Off-Line Signature Verification
Chapter IV: An Automatic Offline Signature Verification and Forgery Detection
System
Chapter V: Introduction to Speech Recognition
Chapter VI: Seeking Patterns for the Forensic Analysis of Handwriting and Speech
Chapter VII: Image Pattern Recognition Based Morphological Structure and
Applications
Chapter VIII: Robust Face Recognition Technique for a Real-Time Embedded Face
Recognition System
Chapter IX: Occlusion Sequence Mining for Activity Discovery from Surveillance
Videos
Chapter X: Human Detection in Static Images
Chapter XI: A Brain-Inspired Visual Pattern Recognition Architecture and its
Applications
Chapter XII: Significance of Logic Synthesis in FPGA-Based Design of Image and
Signal Processing Systems
Chapter XIII: A Novel Support Vector Machine with Class-Dependent Features for
Biomedical Data
Chapter XIV: A Unified Approach to Support Vector Machines
Chapter XV: Cluster Ensemble and Multi-objective Clustering Methods
Chapter XVI: Implementing Negative Correlation Learning in Evolutionary
Ensembles with Suitable Speciation Techniques
Chapter XVII: A Recurrent Probabilistic Neural Network for EMG Pattern
Recognition

Product Details

* ISBN: 1599048078
* ISBN-13: 9781599048079
* Format: Hardcover, 435pp
* Publisher: IGI Global
* Pub. Date: April 2008

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