Structural Pattern Recognition using Graph Matching

Structural Pattern Recognition using Graph Matching

Architect the cognitive frameworks of the next era and master the high-performance protocols of modern computer vision engineering. Structural Pattern Recognition using Graph Matching provides a definitive, engineering-first roadmap to the most significant shift in relational data analysis since the digital revolution. Learn how to move beyond simple pixel-based recognition to high-velocity, structural discovery—bridging the gap between a standalone data point and a sophisticated, graph-based ecosystem—ensuring your technical infrastructures are resilient, scalable, and ready for the 2026 global software landscape.

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What You Will Learn:

Foundations of Structural Analysis: Master the core principles of graph theory, isomorphism, and the essential mechanics of representing complex objects as relational graphs.

Modern Graph Matching Workflows: Step-by-step guidance on utilizing exact and inexact matching algorithms to maintain peak operational integrity in noisy environments.

Scalable Feature Extraction: Discover how to utilize topological features and graph kernels to maintain the structural integrity and technical agility of your recognition systems.

Strategic Security & Pattern Integrity: Learn advanced techniques for maintaining information security within your datasets, protecting against adversarial graph perturbations and ensuring the technical agility of secure biometric or network-flow analysis.

Who This Book is For: This professional-grade guide is essential for Machine Learning Engineers, Computer Vision Researchers, and Data Scientists. It is an invaluable resource for any technical lead—including those building highly secure, pattern-sensitive graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, intelligence-led software delivery.

Product Details:

Format: Digital PDF Download

Authors: Shri Prakash Dwivedi; Ravi Shankar Singh

Publisher: CRC Press

ISBN-13: 9781032850344

ISBN-10: 1032850345