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RISS 인기검색어
- 검색키워드
- 저자 : Shoaib Amin Banday,Saba Mushtaq,A.H. Mir (검색결과 2 건)
- 무료
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- 유료
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Multi Unit Iris Biometric Encrypted Template Formation and Authentication
Shoaib Amin Banday,Saba Mushtaq,A.H. Mir 보안공학연구지원센터(IJSIP) 2014 International Journal of Signal Processing, Image Vol.7 No.6
Biometrics has been one the main security solutions in almost every type of infrastructure (whether critical or non-critical) ranging from the main doors at home, libraries to the critical infrastructures like banks and airports. Despite the forceful impetus on research on biometric security that has taken biometrics from one simple level to much higher levels of security, there are still some open challenges in this field of security that need to be filled. Among all those challenges and loopholes, the security of template is of the most important concern. The reason for this is that we don’t want any identity compromises. If a biometric template in the database of the system of a person is compromised that consequently would mean identity theft of that person. This paper proposes a novel method that uses two different biometric data from the same person for making a biometric template against each person. The two biometric modalities that have been used in our work are left and right iris using best features. The features and verification of the proposed system has been done using MATLAB.
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Yabrin Amin,Shoaib Amin Banday,A.H.Mir 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.1
The cardiac Magnetic Resonance Imaging (MRI) provides high resolution images of the heart without radiation exposure. It is an excellent noninvasive test used by radiologist for proper detection of heart diseases. The manual segmentation of left ventricle in cine short axis MRI sequences takes an ample amount of time as compared to semi-automated segmentation. In Gradient Vector Flow (GVF) model certain barriers hinder the performance such as weak edge detection, high computational time, limited capture range and its ambiguity with other parameters. In this paper segmentation of Endocardium is carried out on multistage MRI frames Using Adaptive Diffusion flow (ADF) model. This deformable model was tested on large scale number of Cardiac MRI images. We replace the smoothening energy term in GVF with active hyper-surface harmonic minimal function in order to avoid possible leakage at weak edges. The use of harmonic maps is adjusted in accordance with image characteristics. We also assimilate infinite Laplace function to move active contours into narrow concave sections. Experimental results and collation with GVF are presented in this paper which reveals several good results based on extraction of endocardium tissue from left and right ventricle, including less computational time, noise robustness and weak edge preserving on Cardiac MR Images.
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