Shape and Texture Combined Face Recognition for Detection of Forged ID Documents

This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) doc-ument against the face image stored in the biometric chip of such a document. The purpose of this specific face recognition algorithm is to aid the automatic detection of forged ID documents where the photography printed on the document’s surface has been altered or replaced. The proposed algorithm uses a novel combination of texture and shape features together with sub-space representation techniques. In addition, the robustness of the proposed algorithm when dealing with more general face recognition tasks has been proven with the Good, the Bad & the Ugly (GBU) dataset, one of the most challenging datasets containing frontal faces. The proposed algorithm has been complement-ed with a novel method that adopts two operating points to enhance the reliability of the algorithm’s final verification decision.Final Accepted Versio

Evaluating soft biometrics in the context of face recognition

2013 Summer.Includes bibliographical references.Soft biometrics typically refer to attributes of people such as their gender, the shape of their head, the color of their hair, etc. There is growing interest in soft biometrics as a means of improving automated face recognition since they hold the promise of significantly reducing recognition errors, in part by ruling out illogical choices. Here four experiments quantify performance gains on a difficult face recognition task when standard face recognition algorithms are augmented using information associated with soft biometrics. These experiments include a best-case analysis using perfect knowledge of gender and race, support vector machine-based soft biometric classifiers, face shape expressed through an active shape model, and finally appearance information from the image region directly surrounding the face. All four experiments indicate small improvements may be made when soft biometrics augment an existing algorithm. However, in all cases, the gains were modest. In the context of face recognition, empirical evidence suggests that significant gains using soft biometrics are hard to come by

Evaluating the performance of iPhoto facial recognition at the biometric verification task

2012 Spring.Includes bibliographical references.The Faces feature of Apple's iPhoto '09 software uses facial recognition techniques to help people organize their digital photographs. This work seeks to measure the facial recognition performance of iPhoto Faces in order to gain insight into the progress of facial recognition systems in commercial software. A common performance evaluation protocol is explained and performance values are presented. The protocol is based on performance measurements of academic and biometric facial recognition systems performed at the National Institute of Standards and Technology. It uses the data set developed for the Good, the Bad, & the Ugly Face Recognition Challenge Problem which contains images with varying levels of facial recognition difficulty. Results show high performance on the hardest faces to recognize, less than peak performance on the easier faces, and overall less variation in performance across varying levels of difficulty than is observed for alternative baseline algorithms

When worlds collide - examining the challenges faced by teacher education programmes combining professional vocational competence with academic study, lessons from further education to higher education

This paper examines the challenges faced by higher education institutions in designing, teaching and quality assuring programmes of study which, of necessity, must combine the gaining of professional vocational competence with academic study. The paper gives recognition to the policy framework in which these programmes fit – with particular reference to teacher education. It presents the challenges at each stage, from ensuring that curriculum design meets the needs of the profession, to the quality assurance mechanisms which ensure standards and compliance. Initially the paper draws on published research to examine how and why these policy decisions have been taken in much of the developed world. The paper goes on to present a new perspective, however, by comparing current teacher education mechanisms with those that have developed in the past twenty years in further education, looking at the parallels and addressing how far we can learn from the experiences of further education colleagues to ensure that we manage to combine the two different worlds of academia and vocational training without compromising either. It suggests ways in which higher education institutions can learn from further education to tackle the challenges to ensure that concentration on training students to be good teachers is done without compromising personal growth and intellectual development, and examines how far it is possible to meet the demands of higher education quality controls which are applied with differential emphases