Kevin W. Bowyer - Studies Involving Identical Twins

  • Jeffrey R. Paone, Patrick J. Flynn, P. Jonathon Philips, Kevin W. Bowyer, Richard W. Vorder Bruegge, Patrick J. Grother, George W. Quinn, Matthew T. Pruitt and Jason M. Grant,
    Double Trouble: Differentiating Identical Twins by Face Recognition,
    IEEE Transactions in Information Forensics and Security 9 (2), 285-295, February 2014.
    link to this paper in IEEE Xplore.
    Facial recognition algorithms should be able to operate even when similar-looking individuals are encountered, or even in the extreme case of identical twins. An experimental data set comprised of 17486 images from 126 pairs of identical twins (252 subjects) collected on the same day and 6864 images from 120 pairs of identical twins (240 subjects) with images taken a year later was used to measure the performance on seven different face recognition algorithms. Performance is reported for variations in illumination, expression, gender, and age for both the same day and cross-year image sets. Regardless of the conditions of image acquisition, distinguishing identical twins are significantly harder than distinguishing subjects who are not identical twins for all algorithms.

  • A Study of Face Recognition of Identical Twins By Humans,
    Soma Biswas, Kevin W. Bowyer and Patrick J. Flynn,
    International Workshop on Information Forensics and Security (WIFS 2011), December 2011 Foz do Iguacu, Brazil.
    pdf of this paper.
    In this work, we investigate human capability to distinguish between identical twins. If humans are able to distinguish between facial images of identical twins, it would suggest that humans are capable of identifying discriminiating facial traits that can potentially be useful to develop algorithms for this very challenging problem. Experiments with different viewing times and imaging conditions are conducted to determine if humans viewing a pair of facial images can perceive if the image pairs belong to the same person or to a pair of identical twins. The experiments are conducted on 186 twin subjecs, making it the largest such study in the literature to date.

  • Twins 3D Face Recognition Challenge
    Vipin Vijayan, Kevin W. Bowyer, Patrick Flynn, Di Huang, Liming Chen, Mark Hansen, Omar Ocegueda, Shishir Shah, Ioannis Kakadiaris
    International Joint Conference on Biometrics (IJCB 2011), October 2011.
    pdf of this paper.

  • What Surprises Do Identical Twins Have for Identity Science?
    Kevin W. Bowyer,
    IEEE Computer 44(7), July 2011, 100-102.
    pdf of this paper.
    Experiments with biometric datasets from identical twins are helping to shape future research in face and iris recognition.

  • Genetically Identical Irises Have Texture Similarity That Is Not Detected By Iris Biometrics
    Karen Hollingsworth, Kevin W. Bowyer, Stephen Lagree, Samuel P. Fenker and Patrick J. Flynn.
    Computer Vision and Image Understanding, to appear.
    pdf of this paper.
    As the standard iris biometric algorithm "sees" them, the left and right irises of the same person are as different as irises of unrelated people. Similarly, in terms of iris biometric matching, the eyes of identical twins are as different as irises of unrelated people. The left and right eyes of an individual or the eyes of identical twins are examples of genetically identical irises. In experiments with human observers viewing pairs of iris images acquired using an iris biometric system, we have found that there is recognizable similarity in the left and right irises of an individual and the irises of identical twins. This result suggests that iris texture analysis different from that performance in the standard iris biometric algorithm may be able to answer questions that iris biometrics cannot answer.

  • Distinguishing Identical Twins By Face Recognition,
    P. Jonathon Phillips, Patrick J. Flynn, Kevin W. Bowyer, Richard W. Vorder Bruegge, Patrick J. Grother, George W. Quinn, Matthew Pruitt,
    IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), March 2011, 185-192.
    pdf of this paper.
    This paper measures ability of face recognition algorithms to distinguish between identical twin siblings. The experimental dataset consists of images taken of 126 pairs of identical twins (252 people) collected on the same day and 24 pairs of identical twins (48 people) with images collected one year apart. Recognition experiments are conducted using three of the top submissions to the Multiple Biometric Evaluation (MBE) 2010 Still Face Track. ...

  • Human Versus Biometric Perception of Iris Texture,
    Presentation only of work done with Karen Hollingsworth, Steve Lagree, Sam Fenker and Patrick J. Flynn,
    Biometrics Consortium Conference (BCC), September 2010, Tampa, FL.
    pdf of slides.


Department Chair