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Anand Deva Durai, C.
- A Frequency Based Approach on Biometric Identification System Using Multiple Traits of Face and Iris
Authors
1 Department of Computer Science and Engineering, Karunya University, Coimbatore, IN
Source
Biometrics and Bioinformatics, Vol 4, No 5 (2012), Pagination: 217-221Abstract
In the modern era, biometric identification place an important role to identify humans in a unique manner. Single or multiple physical traits can be used in various applications. Single Biometric traits face problems such as poor environment, nonuniversality, noisy data. To overcome these, multimodal biometric identification uses more than one physical trait so that it increases the performance in identification which is not possible in single biometric system. Also, it is difficult for the intruder to simultaneously spoof the multiple traits. This paper uses face and iris as multiple physical traits. To extract the features of face and iris Local Binary Pattern is used and phase only correlation for latter. The fusion of features is done using frequency based fusion where Log Gabor filter is used in matching score level.
Keywords
Feature Extraction, Local Binary Pattern, Feature Fusion, Hamming Distance.- Mechanism for Diabetic Retinal Blood Vessel Profile Measurement and Analysis on Fundus Images
Authors
1 Department of Computer Science and Engineering, King Khalid University, Abha 61421, SA
Source
Research Journal of Pharmacy and Technology, Vol 12, No 1 (2019), Pagination: 21-26Abstract
Diabetic Retinopathy (DR) occurs due to Type II diabetes. At the early stage, if it is identified one can save their vision. Later stage, retinal detachment leads to 100% vision loss. An automatic computer based system is needed for diagnosis. There are diverse tools and automatic and semi-automatic systems are available. But the system is not identifying and measuring the narrow blood vessels accurately, because of the noise and imaging problems. Also, while tracking the retinal vessel, the narrow vessels are equally taken into consideration as wider vessels. Thus the proposed segmentation and classification techniques extract the blood vessels and measure the profile features of fundus images obtained from dissimilar modalities significantly.Keywords
Diabetic Retinopathy, Retinal Blood Vessel, Vessel Profile, Ophthalmology, Fundus Image.References
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