News Column

Report Summarizes Information Technology Study Findings from W.M. Yang and Co-Researchers

June 3, 2014

By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Current study results on Information Technology have been published. According to news reporting from Beijing, People's Republic of China, by VerticalNews journalists, research stated, "In this paper, we present a multimodal personal identification system that fuses finger vein and finger dorsal images at the feature level. First, we design an image acquisition device, which can synchronously capture finger vein and finger dorsal images."

The news correspondents obtained a quote from the research, "Also, a small dataset of the images has been established for algorithm testing and evaluation. Secondly, to utilize the intrinsic positional relationship between the finger veins and the finger dorsal, we perform a special registration on two kinds of images. Subsequently, the regions-of-interest (ROIs) of both kinds of images are extracted and normalized in both size and intensity. Thirdly, we develop a magnitude-preserved competitive code feature extraction method, which is utilized in both the finger vein and finger dorsal images. Furthermore, according to the preserved magnitude, a comparative competitive code (C(2)Code) is explored for finger vein and dorsal fusion at the feature level. The proposed feature map of C(2)Code, which contains new features of junction points and positions from the finger vein and finger dorsal image pairs, is extremely informative for identification. Finally, the C(2)Code feature map is fed into a nearest neighbor (NN) classifier to carry out personal authentication."

According to the news reporters, the research concluded: "Experimentally, we compare the performance of the proposed fusion strategy with that of state-of-the-art unimodal biometrics by using the established dataset, and it is found that there is higher identification accuracy and lower equal-error-rates (EERs)."

For more information on this research see: Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion. Information Sciences, 2014;268():20-32. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier -; Information Sciences -

Our news journalists report that additional information may be obtained by contacting W.M. Yang, Tsinghua PolyU Biometr Joint Lab, Visual Informat Proc Lab, Beijing, People's Republic of China. Additional authors for this research include X.L. Huang, F. Zhou and Q.M. Liao.

Keywords for this news article include: Asia, Beijing, Information Technology, People's Republic of China

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Source: Information Technology Newsweekly

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