Feature based sliding window technique for face recognition

Muhammad Younus Javed; Syed Maajid Mohsin; Muhammad Almas Anjum

doi:10.1117/12.853249

26 February 2010 Feature based sliding window technique for face recognition

Muhammad Younus Javed, Syed Maajid Mohsin, Muhammad Almas Anjum

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754619 (2010) https://doi.org/10.1117/12.853249
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

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.

Citation Download Citation

Muhammad Younus Javed, Syed Maajid Mohsin, and Muhammad Almas Anjum "Feature based sliding window technique for face recognition", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754619 (26 February 2010); https://doi.org/10.1117/12.853249

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KEYWORDS

Image filtering

Facial recognition systems

Gaussian filters

Databases

Feature extraction

Convolution

Digital filtering

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