Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/99389
Title: Visualizing vein patterns from color skin images based on image mapping for forensics analysis
Authors: Tang, Chaoying
Zhang, Hengyi
Craft, Noah
Kong, A. W.
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Tang, C., Zhang, H., Kong, A. W., & Craft, N. (2012). Visualizing vein patterns from color skin images based on image mapping for forensics analysis. Proceedings - International Conference on Pattern Recognition, 2387-2390.
Conference: International Conference on Pattern Recognition (21st : 2012 : Tsukuba, Japan)
Abstract: Traditionally, it was difficult to use vein patterns in evidence images for forensic identification, because they were nearly invisible in color images. We proposed a computational method based on skin optics to uncover vein patterns from color images. However, its performance is dependent on the accuracy of the skin optical model. In this paper, we propose an algorithm based on image mapping to visualize vein patterns. It extracts information from a pair of synchronized color and near infrared (NIR) images, and uses a neural network (NN) to map RGB values to NIR intensities. In addition, an NN weight adjustment scheme is proposed to improve the robustness of the algorithm. The proposed algorithm was examined on a database with 300 pairs of color and NIR images collected from the forearms of 150 subjects. The automatic matching results from the proposed algorithm were better than those from our previous method, and comparable to the results from matching NIR images with NIR images.
URI: https://hdl.handle.net/10356/99389
http://hdl.handle.net/10220/12843
Schools: School of Computer Engineering 
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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