Publikācijas 2010 Palm Vein Biometrics Based on Infrared Imaging and Complex Matched Filtering

M. Greitans, M. Pudzs, R. Fuksis. ”Palm Vein Biometrics Based on Infrared Imaging and Complex Matched Filtering”, The 12th ACM Multimedia and Security Workshop MM&Sec, Rome, Italy, 9-10, September 2010.g. pp. 101-106.

ABSTRACT
In this paper, the use of the palm vein pattern for biometrics is discussed. To obtain pictures of blood vessels, two methods of infrared imaging – reflection and transmission are investigated. Basic image processing methods for extraction of vein structure are discussed. Complex matched filtering result provides matching intensity vectors that are used to segment the vessels. The similarity index of vector sets of two images is introduced to recognize vein pattern of the individual person. Experimental results of person identification are obtained using palm infrared image database from 50 people. The achieved Equal error rate of proposed method for the used database is 0.17%.

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