Informatics Publishing Limited

N. Ganesh ¹, S. Thangasamy ², B. Premkumar ³

Affiliations
1 Department of Computer Science and Engineering, Anna University, Coimbatore – 641 006, IN
2 Research and Development, Kumaraguru College of Technology, Coimbatore – 641 006, IN
3 Department of Management Studies, SRM University, Vadapalani, Chennai - 600 026, IN

Abstract

The fundamentals of agile software development address the improvement and management of software development practices within individual teams. They can support the earlier and quicker production of the code by dividing the product into small segments called iterations. The agile methods are well known for their focus on quality and higher morale of stakeholders. The agile software development improves the product usability when it is leveraged with the practice of frequently testing the user screens that is being developed by the agile team. The user experience designs, their needs and goals were monitored frequently when a technique such as scrum is being adopted. This paper contains a case study to empirically illustrate quality of a product by the usage and the adoption of the scrum technique with the experiences of the user team and the project team on a live software project. It also narrates how effective is the Agile methodology in handling the unstable or changing requirements throughout the software development life cycle.

Keywords

Scrum, Sprint, Agile Methodology, User Experience Design.

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L. Latha ¹, U. Supriya ², S. Thangasamy ³

Affiliations
1 Kumaraguru College of Technology, Coimbatore, IN
2 Department of Computer Science and Engineering, KCT, IN
3 R & D, Kumaraguru College of Technology, IN

Abstract

In any multimodal biometric system, an effective fusion method is necessary for combining information from various single modality systems. This requires that the scores from different modalities be in the same range so that they can be combined properly. Hence normalization techniques are needed for efficient fusion of scores. Performance of various normalization and fusion techniques are examined by using the five modalities namely iris, palm print, retina, ear and fingerprint. Particle swarm optimization technique is then applied on different fusion methods to optimize the fusion parameters such as threshold and weights and it shows improved recognition rates compared to the fusion of original scores. The results are experimentally verified and the performance graphs are plotted and better fusion method is recognized.

Keywords

Multimodal, Biometrics, Score Level Fusion, Optimization, Normalization.

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L. Latha ¹, S. Thangasamy ²

Affiliations
1 Kumaraguru College of Technology, Coimbatore, IN
2 Kumaraguru College of Technology, IN

Abstract

An efficient method for person authentication based on the retinal blood vessel pattern is presented in this paper. The method initially involves a segmentation process to identify blood vessel intersection points in the retina, then the generation of template consisting of the bifurcation points in the blood vessels and finally matching of the intersection points in two different patterns. This approach differs from previously known methods, in that it uses a retinal minucode centered feature extraction algorithm based on the bifurcation points present in retina. Then the number of matched blood vessel intersection points between the two patterns is used to quantify the degree of matching. The validity of our approach is verified with the experimental results obtained using the publicly available databases, namely DRIVE and STARE. We found that the proposed retinal recognition method gives 100% and 90.1% recognition rates respectively for the above databases.

Keywords

Blood Vessels, Bifurcation Points, Feature Extraction, Retinal Recognition.

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L. Latha ¹, M. Pabitha ¹, S. Thangasamy ¹

Affiliations
1 Department of Computer Science and Engineering, Kumaraguru College of Technology, Tamil Nadu, IN

Abstract

A robust method of human authentication based on the retinal blood vessel pattern is presented in this paper. This method entails a segmentation process to identify retinal blood vessel pattern, template generation consisting of the bifurcation points in the retina and matching of the intersection points in the template patterns. The number of matched blood vessel intersection points between the two patterns compared is used as a measure of similarity. As Liveness detection is a highly desirable anti-spoofing measure in biometric authentication, it is ensured while acquiring retinal images in realtime. The validity of our approach is verified with experimental results obtained from 603 comparisons made using 303 retinal images from three different publicly available databases, namely DRIVE, VARIA and STARE. We found that the proposed retinal recognition method gives 100%, 96.3% and 91.1% recognition rates respectively for the above databases. To the best of our knowledge, this is the first work that uses a large number of retinal images from different retinal databases for the authentication purpose.

Keywords

Authentication, Blood vessels, Bifurcation Points, Feature Extraction, Retinal Recognition.

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