Paper Info
Title
Facial recognition of identical twins
Abstract
Biometric identification systems must be able to distinguish between individuals even in situations where the biometric signature may be similar, such as in the case of identical twins. This paper presents experiments done in facial recognition using data from a set of images of twins. This work establishes the current state of facial recognition in regards to twins and the accuracy of current state-of-the-art programs in distinguishing between identical twins using three commercial face matchers, Cognitec 8.3.2.0, VeriLook 4.0, and PittPatt 4.2.1 and a baseline matcher employing Local Region PCA. Overall, it was observed that Cognitec had the best performance. All matchers, however, saw degradation in performance compared to an experiment where the ability to distinguish unrelated persons was assessed. In particular, lighting and expression seemed to have affected performance the most.
Year
DOI
Venue
2011
10.1109/IJCB.2011.6117476
IJCB
Keywords
Field
DocType
identical twin,facial recognition,biometric identification system,current state-of-the-art program,best performance,biometric signature,local region pca,commercial face matchers,baseline matcher,current state,principal component analysis,face recognition
Facial recognition system,Economics,Biometrics access control,Three-dimensional face recognition,Metric signature,Pattern recognition,Image matching,Artificial intelligence,Biometrics,Principal component analysis
Conference
Citations 
PageRank 
References 
2
0.42
3
Authors
5
Name
Order
Citations
PageRank
Matthew T. Pruitt160.84
Jason M. Grant2171.90
Jeffrey R. Paone391.26
Patrick J. Flynn430820.13
Richard W. Vorder Bruegge51105.08