
Hybrid Intelligent Techniques for Pattern Analysis and Understanding
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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.
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Content
Jaya Paul, Anasua Sarkar, Chayan Halder, and Kaushik Roy
2 Hybrid Intelligence Techniques for Handwritten Digit Recognition
Hemant Jain, Ryan Serrao, and B.K. Tripathy
3 Artificial Immune Recognition System for Offline Handwritten Signature Verification
Yasmine Serdouk, Hassiba Nemmour, and Youcef Chibani
4 Parametric Object Detection Using Estimation of Distribution Algorithms
Ivan Cruz-Aceves, Jesus Guerrero-Turrubiates, and Juan Manuel Sierra-Hernandez
5 Hybrid Approach towards Malaria Parasites Detection from Thin Blood Smear Image
Sanjay Nag, Nabanita Basu, and Samir Kumar Bandyopadhyay
6 Noise Removal Techniques in Medical Images
Ranjit Biswas and Sudipta Roy
7 Face Recognition-Oriented Biometric Security System
Geetika Singh and Indu Chhabra
8 Optimization of Hand Motion Recognition System Based on 2D HMM Approach Using ABC Algorithm
K. Martin Sagayam, D. Jude Hemanth, Yadav Nitesh Ramprasad, and Raghav Menon
9 Smart Visual Surveillance Technique for Better Crime Management
Narendra Rao T. J. and Jeny Rajan
10 Watershed Image Analysis Using a PSO-CA Hybrid Approach
Kalyan Mahata, Rajib Das, Subhasish Das, and Anasua Sarkar
11 An Analysis of Brain MRI Segmentation
Tuhin Utsab Paul and Samir Kumar Bandhyopadhyay
12 Haralick's Texture Descriptors for Classification of Renal Ultrasound Images
Komal Sharma and Jitendra Virmani
13 A Self-Organizing Map-Based Spectral Clustering on Shortest Path of a Graph
Parthajit Roy, Swati Adhikari, and J. K. Mandal
14 Quantum Algorithm for Sequence Clustering
Arit Kumar Bishwas, Ashish Mani, and Vasile Palade
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