Block error correction codes for face recognition

Wafaa R. Hussein; Harin Sellahewa; Sabah A. Jassim

doi:10.1117/12.883846

26 May 2011 Block error correction codes for face recognition

Wafaa R. Hussein, Harin Sellahewa, Sabah A. Jassim

Proceedings Volume 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011; 80630H (2011) https://doi.org/10.1117/12.883846
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Face recognition is one of the most desirable biometric-based authentication schemes to control access to sensitive information/locations and as a proof of identity to claim entitlement to services. The aim of this paper is to develop block-based mechanisms, to reduce recognition errors that result from varying illumination conditions with emphasis on using error correction codes. We investigate the modelling of error patterns in different parts/blocks of face images as a result of differences in illumination conditions, and we use appropriate error correction codes to deal with the corresponding distortion. We test the performance of our proposed schemes using the Extended Yale-B Face Database, which consists of face images belonging to 5 illumination subsets depending on the direction of light source from the camera. In our experiments each image is divided into three horizontal regions as follows: region1, three rows above the eyebrows, eyebrows and eyes; region2, nose region and region3, mouth and chin region. By estimating statistical parameters for errors in each region we select suitable BCH error correction codes that yield improved recognition accuracy for that particular region in comparison to applying error correction codes to the entire image. Discrete Wavelet Transform (DWT) to a depth of 3 is used for face feature extraction, followed by global/local binarization of coefficients in each subbands. We shall demonstrate that the use of BCH improves separation of the distribution of Hamming distances of client-client samples from the distribution of Hamming distances of imposter-client samples.

Citation Download Citation

Wafaa R. Hussein, Harin Sellahewa, and Sabah A. Jassim "Block error correction codes for face recognition", Proc. SPIE 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011, 80630H (26 May 2011); https://doi.org/10.1117/12.883846

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KEYWORDS

Facial recognition systems

Databases

Discrete wavelet transforms

Binary data

Error analysis

Feature extraction

Wavelets

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