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.
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Feng, J., Zhou, H., Zhou, J. (2011). A Preliminary Study of Handprint Synthesis. In: Sun, Z., Lai, J., Chen, X., Tan, T. (eds) Biometric Recognition. CCBR 2011. Lecture Notes in Computer Science, vol 7098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25449-9_17
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DOI: https://doi.org/10.1007/978-3-642-25449-9_17
Publisher Name: Springer, Berlin, Heidelberg
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