DocumentCode :
3575245
Title :
A review on vein biometric recognition using geometric pattern matching techniques
Author :
Agarwal, Anjali ; Maheshwari, Saurabh ; Yadav, Garima
Author_Institution :
Dept. of CSE, Gov. Women Eng. Coll., Ajmer, India
fYear :
2014
Firstpage :
1
Lastpage :
7
Abstract :
Due to increasing security issues, biometrics has gained attraction during past years in both academic and commercial domains. They range from physical traits such as retina, face, iris, fingerprint, etc. to behavioral traits such as signatures, gait, etc. Techniques in non-visible spectrum are based on infrared imagery namely near infrared, short wave infrared, mid wave infrared and long wave infrared. Among physical traits vein pattern prove to be more secured as blood vessels are underneath the skin and partially visible to naked human eyes, hence, it becomes hard for intruders to forge. Due to unique physiology of vasculature network, they are fit to be used for biometric authentication. A detailed description of vein recognition technology, arrangement, infrared imaging is presented. A well defined classification has also been provided for vein pattern extraction strategies. This paper is an approach to introduce interested researchers to the scope and methods in this field with detailed classification.
Keywords :
blood vessels; image classification; image matching; infrared imaging; vein recognition; biometric authentication; blood vessels; geometric pattern matching techniques; infrared imagery; long wave infrared; mid wave infrared; near infrared; nonvisible spectrum; vasculature network; vein biometric recognition; vein pattern extraction strategy; Feature extraction; Image registration; Image segmentation; Interpolation; Physiology; Reactive power; Welding; De-noising; Hausdorff distance; Multi-biometrics; hidden biometrics; segmentation; thermal minutia points; vein biometric survey;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Business, Industry and Government (CSIBIG), 2014 Conference on
Print_ISBN :
978-1-4799-3063-0
Type :
conf
DOI :
10.1109/CSIBIG.2014.7056935
Filename :
7056935
Link To Document :
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