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Compression Techniques and Face Recognition with PCA: A Study?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 6)

Publication Date:

Authors : ; ;

Page : 802-808

Keywords : Compression techniques; Lossless compression; Lossy compression; Discrete Cosine Transform (DCT); Principle Component Analysis (PCA); Joint photographic expert group (JPEG);

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Face recognition presents a challenging problem in the field of image analysis and computer vision. It has received a great deal of attention over the last few years because of its many applications in various domains. Disk storage space is one of the most fundamental challenges in designing biometric system. Due to limited bandwidth and storage capacity, images must be compressed before storing and transmitting. In biometrics datasets, facial images are usually stored in JPEG compressed format and should be fully decompressed to be used in a face recognition system. In case of face recognition application, to reduce computational complexity of JPEG decompression step, we are directly dealing with face recognition in compressed domain. Many techniques are available for compressing the images. But in some cases these techniques will reduce the quality and originality of image. This paper addresses various compression techniques as it is applicable to various fields of image processing and compressed domain face recognition using principle component analysis.

Last modified: 2014-07-01 19:15:39