Best Face Recognition Books

Reliable Face Recognition Methods: System Design, Implementation and Evaluation

One of the most complex software applications are developed for automatic face recognition. It needs advanced knowledge of Biometrics. Biometrics has turn the major component in the multiplex decision making operation related with security system application programs. Reliable Face Recognition Methods book attempts to comprehensively handle the automatic face recognition problem while getting inspiration and acquiring fresh insights from reciprocal fields of enterprise for example neurosciences, statistics, signaling and image processing, computer visual modality, and machine learning and advanced data mining. This comprehensive face recognition book analyzes the development of research circumventing the field up to now, searches new guidances, and extends particular guidance on the brightest venues for future research and development.

With its centralized overture and clearness of demonstration, this new textbook/reference is a first-class resource for information processing system scientists and engineers, security computing  researchers, and computer professionals who require to learn about face recognition. In addition, the book is ideally suited to students studying biometry, pattern recognition, and human computer fundamental interactions.

A comprehensive guide about recognizing facial expressions. If you want to learn face image analysis in detail, this book will suit well.

Face Image Analysis by Unsupervised Learning teaches adaptational approaches to face recognition & image analysis. It runs upon rules of unattended acquisition and information theory to adjust processing to the quick task surroundings. In contrast to more conventional approaches to image analysis in which related construction is found out beforehand and distilled using hand-engineered formulas,

Face analysis & recognition book uses scientific knowledge which comes from biological vision. Statistical dependencies in image collection also plays an important role. Overall, the book tells readers about information theory, free component analysis, unsupervised learning & their interaction to biological vision. This face recognition book is suitable for graduate-level students & researchers in the industry

Face recognition techniques also require good knowledge on pattern recognition. This comprehensive book is about pattern recognition, data mining & machine learning. It gives solid & deep information about classification problems, clustering (supervised & unsupervised),  new expansions on Support vector machines, dimensionality reduction etc. It is a widely used textbook in related university departments. Suggested both for academical stuff, students & pattern & face recognition professionals.