International Journal of Modern Education and Computer Science (IJMECS)

ISSN: 2075-0161 (Print), ISSN: 2075-017X (Online)

Published By: MECS Press

IJMECS Vol.6, No.1, Jan. 2014

Evaluating the Effect of JPEG and JPEG2000 on Selected Face Recognition Algorithms

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Adebayo Kolawole John,Onifade Olufade Williams,Adekoya Adewale M.

Index Terms

Face recognition; image compression;JPEG;JPEG2000;PCA;ICA;LDA


Continuous miniaturization of mobile devices has greatly increased its adoption and use by people in various facets of our lives. This has also increased the popularity of face recognition and image processing. Face recognition is now being employed for security purpose opening up the need for further research in recent time. Image compression becomes useful in cases when images need to be transmitted across networks in a less costly way by increasing data volume while reducing transmission time. This work discusses our findings on image compression and its effect on face recognition systems. We studied and implemented three well known face recognition algorithms and observed their recognition accuracy when gallery / probe images were compressed and/or uncompressed as one would naturally expect. For compression purposes, we adopted the JPEG and JPEG2000 coding standard. The face recognition algorithms studied are PCA, ICA and LDA. As a form of an extensive research, experiments conducted include both in compressed and uncompressed domains where the three algorithms have been exhaustively analyzed. We statistically present the results obtained which showed no significant depreciation in the recognition accuracies.

Cite This Paper

Adebayo Kolawole John, Onifade Olufade Williams, Adekoya Adewale M.,"Evaluating the Effect of JPEG and JPEG2000 on Selected Face Recognition Algorithms", IJMECS, vol.6, no.1, pp.41-52, 2014.DOI: 10.5815/ijmecs.2014.01.05


[1]M. S. Anish Kumar, Rajesh Cherian Roy, R. Gopikakumari, " A New Image Compression and Decompression technique based on 8x8 MRT", GVIP Journal, Volume 6, Issue 1, July 2006.

[2]M. Kutila, J. Virtanen, "Parallel Image Compression and Analysis with Wavelets", World academy of science, engineering and technology 2005.

[3]Sonal, Dinesh Kumar, " a study of various image compression Techniques", Department of Computer Science & Engineering Guru Jhambheswar University of Science and Technology, Hisar. 2008.

[4]Dinesh Kumar, C.S Rai and Shakti Kumar, "Principal W. Zhao, R. Chellapa, and P. J Phillips, "Face Recognition: A literature survey," in Technical Report, University of, Maryland, 2000. 

[5]Adebayo K.J and Onifade O.F.W, "Framework for a Dynamic Grid-Based Surveillance Face Recognition System" In Africa journal of computing and ICT (IEEE Nigerian Section).Pg. 1 – 10, Vol. 4 N0. 1, June, 2011.

[6]D. Kresmir, G. Mislav, and L. Panos, "Appearance Based statistical method for face recognition" in 47th international symposium, ELMAR 2005, Zedar, Croatia. June 2005.

[7]Kresimir Delac, Sonja Grgic and Mislav Grgic, "Image Compression in Face Recognition - a Literature Survey" in recent advances in face recognition, pg236, I-Tech publishers, Vienna, Austria, Dec 2008.

[8]Sonja Grgic, Marta Mrak and Mislav Grgic, "Comparison of jpeg image coders" in recent advances in face recognition, pg236, I-Tech publishers, Vienna, Austria, Dec 2008.

[9]Component Analysis for Data Compression and Face Recognition". 2008.

[10]Bernie Brower, "Image Compression Basics", NIMA Systems engineering service, 2008.

[11]Arcangelo Bruna, "Principles of Image Compression", Advanced System Technology, Catania, 2008.

[12]Rahul Garg and Varun Gulshan, "JPEG Image Compression" Lecture note, Dec 2005.

[13]M. Turk, and A. Pent land., "Eigenfaces for recognition", Journal of Cognitive Neuroscience, Vol. 3, pp. 71-86, (1991).

[14]Haiping Lu, K.N. Plataniotis, and A.N. Venetsanopoulos., "MPCA: Multilinker Principal Component Analysis of Tensor Objects", IEEE Trans on Neural Networks, Vol. 19, No. 1, Page: 18-39, January 2008.

[15]Delac, K.; Grgic, M. & Grgic, S. "Effects of JPEG and JPEG2000 Compression on Face Recognition", Lecture Notes in Computer Science, Pattern Recognition and Image Analysis, Vol. 3687, 2005, pp. 136-145, 2005.

[16]Delac, K.; Grgic, M. & Grgic, S., "Image Compression Effects in Face Recognition Systems". In Face Recognition, Book edited by: K Delac and M.Grgic, ISBN 978-3-902613-03-5, pp.558, I-Tech, Vienna, Austria, June2007.

[17]Wijaya, S.L.; Savvides, M. & Vijaya Kumar B.V.K, "Illumination-Tolerant Face Verification of Low-Bit-Rate JPEG2000 Wavelet Images with Advanced Correlation Filters for Handheld Devices". In Journal of Applied Optics, Vol. 44, 2005, pp. 655-665, 2005. 

[18]Blackburn, D.M.; Bone, J.M. & Phillips, P.J, "FRVT 2000 Evaluation Report". 2001.

[19]Moon, H. & Phillips, P.J, "Computational and Performance aspects of PCA-based Face Recognition Algorithms", Perception, Vol. 30, 2001, pp. 303-321B. 

[20]McCarty, D.P.; Arndt, C.M.; McCabe, S.A. & D'Amato, D.P. "Effects of compression and individual variability on face recognition performance", Proc. of SPIE, Vol. 5404, 2004, pp. 362-372.

[21]Onifade O.F.W and Adebayo K.J, "Biometric authentication with face recognition using principal component analysis and a feature based technique" In International Journal of Computer Applications (0975 – 8887) pg. 13 – 20, Volume 41– No.1, March 2012

[22]Adebayo Kolawole John, "Combating terrorism with biometric authentication using face recognition" In proc of 10th international conference of the Nigeria Computer Society, 2011. Available online at

[23]Adebayo Kolawole John and Onifade Olufade: "Employing Fuzzy Histogram equalization to combat illumination invariance in face recognition systems". In international journal of Intelligent Systems and Applications, Singapore. Vol. 4, No 9, Pg. 54-60, June 2012. Available online at

[24]Haiping Lu, K. N. Plataniotis and A. N. Venetsanopoulos: Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning, in IEEE transaction on Neural Network, TNN-2009-P-1186.R1, August 2009.

[25]Jin Wang a, Armando Barreto a, Lu Wang a, Yu Chen a, Naphtali Rishe b, Jean Andrian a, Malek Adjouadi: Multilinear principal component analysis for face recognition with fewer features, Elsevier journal of neuron computing Neuron computing Vol 73 (2010) 1550–1555. Available online at

[26]Richard E woods and Stephen L Eddins: Digital image processing using MATLAB. Dec 1998.

[27]Eswara Reddy and Venkata Narayan: a lossless image compression using traditional and lifting based wavelets. In Signal & Image Processing: An International Journal (SIPIJ) Vol.3, No.2, April 2012.

[28]Y.W. Chen, "Vector Quantization by principal component analysis", M.S. Thesis, National Tsing Hua University, June, 1998.

[29]H.S.Chu, "A very fast fractal compression algorithm", M.S. Thesis, National Tsing Hua University, June, 1997.

[30]A.E. Jacquin, "Image coding based on a fractal theory of iterated contractive image transformations". IEEE Trans on image processing, Vol 1, pg 18-30, 1992.

[31]Rao, K. R., Yip, P., "Discrete Cosine Transforms - Algorithms, Advantages, Applications", Academic Press, 1990.

[32]Wallace, G. K. "The JPEG Still Picture Compression Standard", Comm. ACM, vol. 34, no. 4, April 1991, pp. 30- 44.

[33]Belhumeur Peter N., Hespanha Joao P., Kriegman David J.:Eigenfaces vs. Fisherfaces: Recognition Using Class Speci?c Linear Projection, EuropeanConferenceonComputerVision,1996.

[34]Etemad Kamran, Chellappa Rama: Discriminant Analysis for Recognition of Human Face Images, Optical Society of America, Volume 14, Number 8, 1997.

[35]Wiskott Laurenz, Fellous Jean-Marc, Kruger Norbert, Malsburg Christoph: Face Recognition by Elastic Bunch Graph Matching, Intelligent Biometric Techniques in Fingerprint and Face Recognition, Chapter 11, pp.355-396, 1999.

[36]Moghaddam Baback, Jebara Tony, Pentland Alex: Bayesian Face Recognition, Pattern Recognition, Vol. 33, No. 11, pps. 1771-1782, 2000.

[37]Bartlett Marian Stewart: Face recognition by Independent Component Analysis, IEEE Transaction son Neural Networks, Volume13, Number 6, 2002.

[38]Li Yun-feng: A Face Recognition System Using Support Vector Machines and Elastic Graph Matching, International Conference on Arti?cial Intelligence and Computational Intelligence, 2009.

[39]Chai Zhi, Ma Kai-Kuang, Liu Zheng guang: Complex Wavelet-based Face Recognition Using Independent Component Analysis, Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2009

[40]Wei Li Xian, Sheng Yang, Qi Wang, Ming Li: Face Recognition Based on Wavelet Transform and PCA, Paci?c-Asia Conference on Knowledge Engineering and Software Engineering, 2009.

[41]Bruce A. Draper, Kyungim Baek, Marian Stewart Bartlett and J. Ross Beveridge: Recognizing faces with PCA and ICA, In Computer Vision and Image Understanding 91 (2003) 115–137.

[42]Petra Koruga, Jurica ?eva, Miroslav Ba?a: A Review of Face Recognition Algorithms and Their Application in Age Estimation. 2012.

[43]A. Hossein Sahoo lizadeh, B. Zargham Heidari, and C. Hamid Dehghani: A New Face Recognition Method using PCA, LDA and Neural Network, in International Journal of Electrical and Electronics Engineering , 2008.

[44]D. Cai, X. He, and J. Han. Semi-supervised discriminant analysis. Computer Vision. IEEE 11th International Conference on Computer Vision, 14:1–7, 2007.

[45]Adebayo Kolawole John and Onifade Olufade Williams: Performance Evaluation of Image Compression on PCA-Based Face Recognition Systems, In IEEE 2012 12th International Conference on Hybrid Intelligent Systems (HIS), Cochin, India.

[46]Michael W. Marcellin, Michael J. Gormish, Ali Bilgin amd Martin P. Boliek: An Overview of JPEG-2000. In Proc. of IEEE Data Compression Conference, pp. 523-541, 2000.