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Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Author: Siddhartha Bhattacharyya; Anirban Mukherjee; Indrajit Pan; Paramartha Dutta; Arup Kumar Bhaumik
Publisher: Boca Raton, FL : CRC Press, 2017.
Edition/Format:   eBook : Document : English : First editionView all editions and formats
Summary:
"Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation,  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Siddhartha Bhattacharyya; Anirban Mukherjee; Indrajit Pan; Paramartha Dutta; Arup Kumar Bhaumik
ISBN: 9781315154152 1315154153 9781498769372 1498769373 9781351650205 1351650203
OCLC Number: 1007497187
Description: 1 online resource : text file, PDF
Contents: ""Cover""; ""Half Title Page""; ""Title Page""; ""Copyright Page""; ""Contents""; ""Foreword""; ""Preface""; ""Contributors""; ""Chapter 1: Offline Writer Verification Based on Bangla Handwritten Characters Using Enhanced Textual Feature""; ""1.1 Introduction""; ""1.2 Literature Survey""; ""1.2.1 Offline and pseudo-dynamic approaches""; ""1.2.2 Approaches of writer-dependent and writer-independent methods""; ""1.2.3 Writer identification (many to one)""; ""1.2.4 Writer verification (one-to-one matching)""; ""1.2.5 Biometric property""; ""1.2.6 Handwriting as biometric"" ""1.2.7 Types of writers""""1.2.8 Genuine writer or original writer""; ""1.2.9 Forged writer""; ""1.2.10 Database""; ""1.3 Introduction to Bangla""; ""1.3.1 Bangla script""; ""1.4 Method ""; ""1.5 Data Collection and PreProcessing ""; ""1.6 Feature Extraction Techniques""; ""1.6.1 Feature extraction based on dual-tree complex wavelet transformation""; ""1.6.2 Feature extraction based on GLCM""; ""1.6.3 Edge direction information""; ""1.7 Dissimilarity Measure""; ""1.8 Classification Techniques ""; ""1.8.1 Multi-layer perceptrons networks""; ""1.8.2 Simple logistic"" ""1.8.3 Radial basis function networks""""1.9 Experimental Results""; ""1.9.1 Performance evaluation criteria""; ""1.9.2 Dissimilarity vector calculation""; ""1.10 Verification Results""; ""1.11 Conclusions""; ""References""; ""Chapter 2: Hybrid Intelligence Techniques for Handwritten Digit Recognition""; ""2.1 Introduction""; ""2.2 Literature Review""; ""2.3 Conventional Models""; ""2.3.1 Convolutional neural network""; ""2.3.2 Extreme learning machines""; ""2.3.3 Support vector machines""; ""2.3.4 Hidden Markov model""; ""2.4 Hybrid Models"" ""2.4.1 Convolutional neural networkâ#x80;#x93;support vector machine (CNNâ#x80;#x93;SVM)""""2.4.2 Convolutional neural networkâ#x80;#x93;extreme learning machine (CNN-ELM)""; ""2.4.3 Neuro-fuzzy""; ""2.4.4 Particle swarm optimizationâ#x80;#x93;back-propagation with momentum (PSO-BPM)""; ""2.4.5 Multilayer perceptronâ#x80;#x93;support vector machine (MLP-SVM)""; ""2.4.6 Radial basis function networkâ#x80;#x93;support vector machine (RBF-SVM)""; ""2.4.7 Multi-Layer perceptronâ#x80;#x93;hidden Markov model (MLP-HMM)""; ""2.4.8 Hybrid tree classifier""; ""2.4.9 Adaptive neuro-fuzzy""; ""2.5 Results and Discussion""; ""2.6 Conclusion"" ""2.7 Future Work""""References""; ""Chapter 3: Artificial Immune Recognition System for Offine Handwritten Signature Verification""; ""3.1 Introduction""; ""3.2 Signature Verification Strategies (Dependent/Independent)""; ""3.2.1 The writer-dependent approach""; ""3.2.2 The writer-independent approach""; ""3.3 Natural Immune System versus Artificial Immune System""; ""3.4 Artificial Immune Recognition System (AIRS)""; ""3.4.1 Key terms definitions""; ""3.4.2 AIRS parameters definition""; ""3.4.3 Overview of the AIRS algorithm""; ""3.4.3.1 Initialization""; ""3.4.3.2 Training process""
Responsibility: editors, Anirban Mukherjee, Indrajit Pan.

Abstract:

"Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis."--Provided by publisher.

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