A New Trend for Face Recognition Features

B. M., NASEF and I. E., ZIEADAN (2014) A New Trend for Face Recognition Features. In: International Conference on Advances in Computing, Communication and Information Technology CCIT 2014, 01 - 02 June,2014, London, UK.

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Abstract

This paper introduces a new trend for face recognition features. It is based on dividing the face into four horizontal and five vertical regions [16]. Each region is divided into an optimum number of eight vertical and seven horizontal partitions. One approach using average per partition features and another using histogram per region features are considered. Algorithms to find the minimum of Euclidean distance (ED) between a test image and a matching DB registered image are discussed. Both algorithms achieved 100% recognition rate (RR) with ORL and Yale databases. A new definition for RR that is termed inclusive recognition rate (RRi) is suggested. RRi supports testing images belonging to DB subject's images or not.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Face features, Face partitions, Face recognition, Face regions, Image identification
Depositing User: Mr. John Steve
Date Deposited: 18 May 2019 12:20
Last Modified: 18 May 2019 12:20
URI: http://publications.theired.org/id/eprint/2460

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