Image Quality Enhancement Using the Direction and Thickness of Vein Lines for Finger-Vein Recognition
نویسندگان
چکیده
منابع مشابه
Finger Vein Image Enhancement Using RPL, Segmentation with Neural Networks
Biometrics is a validation methodology that depends upon the automated identification or verification of personage based on their physiological or behavioural attributes. Finger Vein recognition is introduced as a foremost biometric identification technology in the perspective of security and reliability. Finger Vein provides the precise rates (very low FRR, FAR) of user identification among mo...
متن کاملA New Algorithm for Finger-Vein Image Enhancement and Segmentation
In order to achieve accurate extraction of human finger-vein (FV) network, this paper addresses the problems of FV image restoration, enhancement and segmentation. Due to strong scattering occurring in the biological tissue in imaging, FV images always are of contrast deterioration. Considering blur reduction and visibility improvement, a scattering removal scheme is firstly used for image rest...
متن کاملFinger Vein Recognition
Smart recognition of human identity for security and control is a global issue of concern in our world today. Financial losses due to identity theft can be severe, and the integrity of security systems compromised. Hence, automatic authentication systems for control have found application in criminal identification, autonomous vending and automated banking among others. Among the many authentic...
متن کاملA Study of Feature Extraction Techniques and Image Enhancement Algorithms for Finger Vein Recognition
Finger vein biometric has many advantages which set it apart as a secure, convenient and reliable means of personal authentication. This paper provides a detailed study of the existing feature extraction techniques and image enhancement algorithms for finger vein recognition. A brief overview of the development and the key stages of the finger vein biometric are provided. The current trends, fu...
متن کاملLocal Vein Texton Learning for Finger Vein Recognition
In finger vein recognition, the input image is generally labeled in accordance with the nearest enrolled neighbor. However, it is so rigid that it is inadequate for some cases. This paper explores a modified sparse representation method for finger vein recognition. In the method, each block in a finger vein image will be sparsely represented by dictionary textons, not simply labeled by the near...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Robotic Systems
سال: 2012
ISSN: 1729-8814,1729-8814
DOI: 10.5772/53474