Hybrid Intelligent Techniques for Pattern Analysis and Understanding

January 12, 2018 foxebook Computers & Internet 0

Chapman and Hall/CRC

2017-10-26

392 pages

Book Description

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.

Chapter 1: Offline Writer Verification Based on Bangla Handwritten Characters Using Enhanced Textual Feature
Chapter 2: Hybrid Intelligence Techniques for Handwritten Digit Recognition
Chapter 3: Artificial Immune Recognition System for Offine Handwritten Signature Verification
Chapter 4: Parametric Object Detection Using Estimation of Distribution Algorithms
Chapter 5: Hybrid Approach towards Malaria Parasites Detection from Thin Blood Smear Image
Chapter 6: Noise Removal Techniques in Medical Images
Chapter 7: Face Recognition–Oriented Biometric Security System
Chapter 8: Optimization of Hand Motion Recognition System Based on 2D HMM Approach Using ABC Algorithm
Chapter 9: Smart Visual Surveillance Technique for Better Crime Management
Chapter 10: Watershed Image Analysis Using a PSO-CA Hybrid Approach
Chapter 11: An Analysis of Brain MRI Segmentation
Chapter 12: Haralick's Texture Descriptors for Classification of Renal Ultrasound Images
Chapter 13: A Self-Organizing Map-Based Spectral Clustering on Shortest Path of a Graph
Chapter 14: Quantum Algorithm for Sequence Clustering