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Proceedings Paper

Feature based sliding window technique for face recognition
Author(s): Muhammad Younus Javed; Syed Maajid Mohsin; Muhammad Almas Anjum
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Paper Abstract

Human beings are commonly identified by biometric schemes which are concerned with identifying individuals by their unique physical characteristics. The use of passwords and personal identification numbers for detecting humans are being used for years now. Disadvantages of these schemes are that someone else may use them or can easily be forgotten. Keeping in view of these problems, biometrics approaches such as face recognition, fingerprint, iris/retina and voice recognition have been developed which provide a far better solution when identifying individuals. A number of methods have been developed for face recognition. This paper illustrates employment of Gabor filters for extracting facial features by constructing a sliding window frame. Classification is done by assigning class label to the unknown image that has maximum features similar to the image stored in the database of that class. The proposed system gives a recognition rate of 96% which is better than many of the similar techniques being used for face recognition.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754619 (26 February 2010); doi: 10.1117/12.853249
Show Author Affiliations
Muhammad Younus Javed, National Univ. of Sciences and Technology (Pakistan)
Syed Maajid Mohsin, National Univ. of Sciences and Technology (Pakistan)
Muhammad Almas Anjum, National Univ. of Sciences and Technology (Pakistan)

Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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