dc.contributor.authorZhang, Hengyi
dc.contributor.authorTang, Chaoying
dc.contributor.authorKong, Adams Wai-Kin
dc.contributor.authorCraft, Noah
dc.date.accessioned2013-07-22T06:13:51Z
dc.date.available2013-07-22T06:13:51Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationZhang, H., Tang, C., Kong, A. W.-K., & Craft, N. (2012). Matching vein patterns from color images for forensic investigation. 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS).en_US
dc.identifier.urihttp://hdl.handle.net/10220/11981
dc.description.abstractChild sexual abuse is a serious global problem and has gained public attention in recent years. Due to the popularity of digital cameras, many perpetrators take images of their sexual activities with child victims. Traditionally, it was difficult to use cutaneous vascular patterns for forensic identification, because they were nearly invisible in color images. Recently, this limitation was overcome using a computational method based on an optical model to uncover vein patterns from color images for forensic verification. This optical-based vein uncovering (OBVU) method is sensitive to the power of the illuminant and does not utilize skin color in images to obtain training parameters to optimize the vein uncovering performance. Prior publications have not included an automatic vein matching algorithm for forensic identification. As a result, the OBVU method only supported manual verification. In this paper, we propose two new schemes to overcome limitations in the OBVU method. Specifically, a color optimization scheme is used to derive the range of biophysical parameters to obtain training parameters and an automatic intensity adjustment scheme is used to enhance the robustness of the vein uncovering algorithm. We also developed an automatic matching algorithm for vein identification. This algorithm can handle rigid and non-rigid deformations and has an explicit pruning function to remove outliers in vein patterns. The proposed algorithms were examined on a database with 300 pairs of color and near infrared (NIR) images collected from the forearms of 150 subjects. The experimental results are encouraging and indicate that the proposed vein uncovering algorithm performs better than the OBVU method and that the uncovered patterns can potentially be used for automatic criminal and victim identification.en_US
dc.language.isoenen_US
dc.rights© 2012 IEEE.en_US
dc.subjectDRNTU::Engineering::Computer science and engineering
dc.titleMatching vein patterns from color images for forensic investigationen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE International Conference On Biometrics: Theory, Applications And Systems (5th : 2012 : Arlington, Virginia, US)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/BTAS.2012.6374560


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