Face Matching In Document Verification And The Effect Of Inversion Upon This Task

Face Matching in Document Verification and the Effect of Inversion Upon this Task

Forensic Face Matching

In everyday life we identify faces regularly and seemingly with great ease. One might assume this to be a straightforward and highly accurate task. However, we are poor at identifying the faces of unfamiliar people, who we have never met before, despite the fact that many important everyday tasks depend on this. Forensic face matching requires the comparison of two face photographs, of a person who is not known to the observer. This seemingly simple task is critical for a wide range of security tasks, such as person identification at airports and borders, passport issuance and renewal, and criminal identification in police investigations. Despite its ubiquity, face matching is highly prone to error, even under conditions that are designed to maximally facilitate this task. For this reason, face matching has been studied extensively in Psychology, with the bulk of the research conducted since 2010. 'Forensic face Matching' provides readers with a wide-ranging, detailed, and critical overview of facial comparison and face matching, providing insights into its application, efficacy, and limitations in occupational settings, and of current scientific knowledge of this task.

Handbook of Face Recognition

Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.