REAL-TIME FACE RECOGNITION USING EIGENFACES
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 10
Abstract
Access control systems are used to grant or deny the access to a person of a particular resource. There has beenan enormous change in the trend of access control systems in recent times. Starting with the use of physical accesscontrol systems such as tokens, passwords etc., for the identification of a person, the trend has swayed towardsdesigning and deploying of access control systems which use biometric identification of individual persons, forthe grant or denial of access to resources.Biometric identification methods use various sources like retina, fingerprint, DNA etc., Biometric sources can beclassified into two, namely physiological and behavioral. The former includes face, fingerprint, hand, iris, DNAand the latter includes keystroke, signature and voice. The access control systems using these biometric sourcesfundamentally identify and recognize a particular personal trait of person and compare it with the informationavailable to grant or deny access to such person who seeks to interact with such system. As amongst such biometricsources to develop reliable access control systems researches have shown overt interest in using the face of aperson (face recognition). Such inclination of the researchers is due to the various strategic advantages facerecognition systems have like, its global application, wide and compatible collectability of data, cost effectivenessin implementation (for example existing surveillance cameras can be used to deploy such systems) whencompared to other biometric methods and many more.The current project fundamentally aims at successfully designing and implementing a face recognition technologyto develop an access control system. Out of the various available methods for developing a face recognitiontechnology such as Fishersface, Hidden Markov model, dynamic link matching, three-dimensional facerecognition, Eigenfaces etc., this project adopts Eigenfaces method of face recognition to achieve such aim.The project fundamentally detects and identifies human faces that work as a biometric source. This project aimsto provide solution for the development of face recognition system by assuming that, problems involved indeveloping such systems are intrinsically a two dimensional rather than a three dimensional. It basically identifiesthe face of a person in a face image and then identifies the specific characteristics of such face image, thencompares such characteristics with an existing database containing specific characteristics of several faces ofdifferent individuals, to decide if the former matches with any of the existing faces in the database. Eigenfacesmethod is utilised to achieve the above result where, face image is projected onto a feature space that spans thesignificant variations among known faces. The best variation among different images is calculated where duringsuch calculation not exactly the facial features like eyes, nose, ears, etc., are classified. Instead it learns each facein an under constant observation as a whole.
Authors and Affiliations
Uzair Saeed
Keywords
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- EP ID EP138984
- DOI 10.5281/zenodo.160868
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