K. Annapurani ¹, C. Malathy ¹, Hardeep Singh ¹, Dhiraj J. Rathod ¹

Affiliations
1 Department of Computer Science and Engineering, SRM University, Kattankulathur - 603203, Tamil Nadu, IN

Abstract

Objectives: A new unique feature extraction technique for face authentication is implemented in thermal imaging. The proposed work extracts vasculature information creates a signature of thermal image and authenticates the individual. Methods/Statistical Analysis: A biometric system for face authentication with a better accuracy and reliability is proposed with an algorithm that uses morphological operators for feature extraction, Gabor filter for registration and correlation coefficient, similarity measures are used for matching. The operators used in image morphology are opening and top-hat segmentation. In order to ensure changes in vasculature at various time intervals four images are taken at different instants and thermal signature template is developed. Due to the consistent thermal features the biometric process is not affected. Findings: 22,784 images of eighteen subjects are used for testing the facial authentication system. An accuracy of 91% is obtained for skeletonised signatures using correlation coefficient which is better than Euclidean Distance that gives 88%. False Acceptance Rate (FAR) of the system is 0.0% for both Euclidean Distance and Correlation Coefficient. False Rejection Rate (FRR) of the system is 0.18% in the case of Correlation Coefficient and 0.24% in the case of Euclidean Distance. Application/Improvements: The enhancement of Face Authentication System to reduce the False Rejection Rate and improve the accuracy. The future scope of this work is the enhancement in military environment, where authentication is more important and the development of multimodal system.

Keywords

Authentication, Biometrics, Gabor Filter, Image Morphology, Image Registration, Thermal Imaging.

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C. Malathy ¹, Uddipt Sharma ¹, Ch Mayuri Naidu ¹, U. Uma Pratheebha ²

Affiliations
1 Department of Computer Science and Engineering, SRM University, Kattankulathur, Chennai - 603203, Tamil Nadu, IN
2 Department of Electronics and Communication Engineering, SRM University, Kattankulathur, Chennai - 603203, Tamil Nadu, IN

Abstract

Objectives: Implant replacement in knee is a major operation in which the joint is replaced by metallic implants. Methods: When changing the liner of knee implant, surgeon must know the type of implant used prior to the surgery. Findings: A new approach to identify the implant used in knee replacement operation using digital image processing techniques was proposed and implemented. The X-ray image was preprocessed and an image database of various implants with their specification was prepared. For testing the X-ray image was acquired and pre processed. After using various images processing operations on the X-ray image, the implant used in patient body was identified by the new approach template matching.

Keywords

Digital Image Processing, Implant Replacement, Template Matching, X-Ray Image.

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Ghonia Pooja Mansukhlal ¹, C. Malathy ¹, U. Uma Pratheebha ¹

Affiliations
1 Department of Computer Science and Engineering, SRM University, Chennai - 603203, Tamil Nadu, IN

Abstract

Integration process of data is recently recognized like a significant visualization of the Semantic Web explore for which researchers focus on numerous areas, such as integration of information, ontologies and databases. Objectives: Users generally requires an incorporated analysis of information accessible from various data and it was proposed to grant users with this view of data. Methods: The Meta data is created from different data sets like excel data set, RDF data set and XML data set. Findings: In this work a survey was made for integrating databases using ontology and a new approach for integration of databases is devised for finding correspondence between ontologies. Applications: View and Search functionality was provided by filtering data from Meta data. This provides easy access to the integrated data.

Keywords

Database Integration, Ontologies, Schema, Semantic Web, Semantic Integration.

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