A preliminary study of handprint synthesis

Authors:
Jianjiang Feng;Huapeng Zhou;Jie Zhou
Affiliations:
Department of Automation, Tsinghua University, Beijing, China;Department of Automation, Tsinghua University, Beijing, China;Department of Automation, Tsinghua University, Beijing, China
Venue:
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Year:
2011

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Abstract

Handprint, the friction ridge pattern on human hand, is of vital importance for recognizing repeat offenders and suspects in forensics. In this paper, we proposed a set of statistical models for the main features in whole handprints, including hand contour, major creases, and ridge patterns. Based on these statistical models, a handprint synthesis algorithm is proposed, which is useful for technology evaluation due to the lack of high resolution handprint databases in the public domain.