NDLI: Segmentation and registration on near-infrared hand vein images for injection and personal identification

Content Provider	IEEE Xplore Digital Library
Author	Fakoor, M. Dehnavi, S.M. Setarehdan, S.K. Daneshmand, R.S.
Copyright Year	2013
Description	Author affiliation: Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran (Fakoor, M.; Setarehdan, S.K.; Daneshmand, R.S.) \|\| Dept. of Comput. Sci. & Syst. Eng., Andhra Univ., Visakhapatnam, India (Dehnavi, S.M.)
Abstract	To find the veins in intravenous emergency injections, non-invasive feasible methods seem to be necessary. In another area in biometric identification, hand vein patterns can be used as other external identifiers are more probable to be damaged or forged. To achieve these goals, NIR back hand vein images are captured. In the proposed method, the NIR hand vein images are pre-processed and segmented by means of Maximum curvature algorithm and hand veins are extracted. The segmentation accuracy is significantly good for the purpose of emergency injection. For the identification purpose, after segmenting each image, the resulting image is correlated with the segmented images in the database and the unknown input image is assigned to the related image in the database. The identification precision is 100% without any hand displacement as the hand position is a predefined location. To simulate the unpredictable hand position displacement, the images are artificially rotated and robustness of the identification procedure to the rotation is 12° in the worst case.. And by using registration, the robustness of the identification procedure is 98.6% with any degree of rotation.
Sponsorship	IEEE
Starting Page	680
Ending Page	685
File Size	442276
Page Count	6
File Format	PDF
ISBN	9781467357593
e-ISBN	9781467357586
DOI	10.1109/CICT.2013.6558181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-11
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Databases Emergency injection Veins Conferences Segmentation, registration, near Educational institutions Biometric identification Robustness Infrared back-hand image Biomedical imaging
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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