Extracting and Analysing of Heterogeneous Features for Robust FRS

S. Princy Suganthi Bai • D. Ponmary Pushpa Latha

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(English, 6 pages)

Abstract

Collecting, cleaning, combining and analysing of data are in demand in all the fields for acquiring accuracy in their task. In biometrics, this process is done for smart and secured life by means of extracting and analysing data for recognition task. Huge volume and variety of data are effectively extracted and analysed with Matlab2015 to identify the uniqueness of attributes for better accuracy in recognition process. Heterogeneous set of features that are extracted from ORL face dataset are analysed with Nearest Neighbour Rule in order to identify the unique facial features for robust FRS (Face Recognition System).

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Journal

International Journal of Advanced Engineering Research and Science

The International Journal of Advanced Engineering Research and Science (IJAERS) is an engineering... see more