Comparison of Image CompressionTechniques for Face Recognition Systems

Face recognition is one of the challenging fields and rigorous research has been carried out in this regard. Though the technique is robust in recognizing faces for authentication, it often deals with storing quite a large number of face images of the same person with variations in pose, occlusions, expressions, etc. When many subjects are taken into account, the number of samples in the training database becomes considerably high and the storage becomes cumbersome. Hence memory management becomes a bigger issue and this is often a domain on which not much fuss is laid upon. The aim of this paper is to throw light on data compression and use a few of the techniques to compress face images. 507 face images from the AR face database were used and compressed with four different algorithms. The Compression Ratio (CR) and Bits Per Pixel (BPP) were calculated. It was found that these techniques were vital for building efficient face recognition systems.

[1]  Rabia Jafri,et al.  A Survey of Face Recognition Techniques , 2009, J. Inf. Process. Syst..

[2]  Marian Stewart Bartlett,et al.  Recent Advances in Face Recognition , 2008 .

[3]  Nur A. Touba,et al.  Static compaction techniques to control scan vector power dissipation , 2000, Proceedings 18th IEEE VLSI Test Symposium.

[4]  O. A. Fakolujo,et al.  A survey of face recognition techniques , 2007 .

[5]  Yongsheng Gao,et al.  Face recognition across pose: A review , 2009, Pattern Recognit..

[6]  Mislav Grgic,et al.  Image Compression Effects in Face Recognition Systems , 2007 .

[7]  Kah Phooi Seng,et al.  3D Face Recognition System with Compression , 2009 .

[8]  Giovanni Manzini,et al.  Engineering a Lightweight Suffix Array Construction Algorithm , 2002, ESA.

[9]  Mislav Grgic,et al.  Image Compression in Face Recognition - a Literature Survey , 2008 .

[10]  Gerhard Rigoll,et al.  High quality face recognition in JPEG compressed images , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[11]  Kunihiko Sadakane,et al.  Faster suffix sorting , 2007, Theoretical Computer Science.

[12]  C. Busch,et al.  Evaluation of image compression algorithms for fingerprint and face recognition systems , 2005, Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop.

[13]  Eugene W. Myers,et al.  Suffix arrays: a new method for on-line string searches , 1993, SODA '90.