Structural Pattern Recognition using Graph Matching

Structural Pattern Recognition using Graph Matching, 1st Edition, by Shri Prakash Dwivedi and Ravi Shankar Singh, offers a comprehensive reference on approximate and error-tolerant graph algorithms. Published by Chapman & Hall, this volume provides structured analysis for academicians, researchers, and advanced students in structural pattern recognition and computer vision.

The content progresses through distinct theoretical and applied themes. It first establishes fundamental concepts in graph representation and graph manipulation alongside core principles of graph similarity measures. The text then investigates subgraph isomorphism while presenting exact, approximate, geometric, and spectral matching techniques. These algorithms directly address pattern recognition tasks in biological molecule identification, object recognition, and recommendation systems.

Comprising 250 pages, the reference includes 54 black-and-white illustrations to clarify structural representations and algorithmic workflows for students and researchers in artificial intelligence.