Abstract
In the article we propose Gabor Wavelets and the modified Discrete Symmetry Transform for face recognition. First face detection in the input image is performed. Then the face image is filtered with the bank of Gabor filters. Next in order to localize the face fiducial points we search for the highest symmetry points within the face image. Then in those points we calculate image features corresponding to Gabor filter responses. Our feature vectors consist of so called Gabor Jets applied to the selected fiducial points (points of the highest symmetry) as well as the statistical features calculated in those points neighborhood. Then feature vectors can be efficiently used in the classification step in different applications of face recognition.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adini Y., Moses Y., Ullman S., Face Recognition: the Problem of Compensating for Changes in Illumination Direction, IEEE Trans. on PAMI, vol. 19, no. 7, 721–732, 1997.
Baek K., Draper B., Beveridge J., She K., PCA vs. ICA: A Comparison on the FERET Data Set, Proc. of Intl. Conf. on Computer Vision, Pattern Recognition and Image Processing, 2001.
Bobulski J., Face Identification Method Based on HMM, PhD Thesis (in polish), Czestochowa University of Technology, 2004.
Chang K., Bowyer K., Flynn P., Face Recognition Using 2D and 3D Facial Data, Proc. of Workshop on Multimodal User Authentication, 25–32, USA, 2003.
Choraś R.S., Choraś M, Automatic face detection in 2D images (in polish), Techniki Przetwarzania Obrazu, 262–267, Serock, 2002.
Gesu Di V., Valenti C., The Discrete Symmetry Transform in Computer Vision. Technical Report DMA 011 95.
Gesu Di V., Valenti C., Symmetry Operators in Computer Vision, Proc. CCMA Workshop on Vision Modeling and Information Coding, Nice, 1995.
Howell A.J., Introduction to Face Recognition, in Intelligent Biometric Techniques in Fingerprint and Face Recognition, CRC Press 1999.
Hsu R.L, Abdel-Mottaleb M., Jain A.K., Face Detection in Color Images, IEEE Trans. on PAMI, vol. 24, no 5, 696–706, 2002.
Kouzani A.Z., He F., Sammut K., Towards Invariant Face Recognition, Information Sciences 123, 75–101, Elsevier, 2000.
Kruger V., Potzsch M., Malsburg C.v.d., Determination of Face Position and Pose with a Learned Representation Based on Labeled Graphs, Technical Report 96-03, Ruhr-Universitat Bochum, 1996.
Kruger V., Sommer G., Affine Real-time Face Tracking Using Gabor Wavelet Networks, Proc. of ICPR, 141–150, Spain, 1999.
Liu C. Wechsler H., Comparative Assesement of Independent Component Analysis (ICA) for Face Recognition, Intl. Conf. AVBPA, 22–24, Washington DC, USA, 1999
Liu C. Wechsler H., A Gabor Feature Classifier for Face Recognition, Proc. of IEEE Intl. Conf. on Computer Vision, Canada, 2001.
Lee T., Ranganath S., Sanei S., An Analytical Overwiev of New Trends in Face Recognition, Proc. of IASTED Intl. Conf. on Signal Processing, Pattern Recognition and Applications, 202–206, Greece, 2002.
Marcelja S., Mathematical description of the responses of simple cortical cells, Journal of the Optical Society of America, 2(7), 1297–1300, 1980.
Pietrowcew A., Face detection in colour images using fuzzy Hough transform, Opto-Electronics Review 11(3), 247–251, 2003.
Reisfeld D., Yeshurun Y., Robust Detection of Facial Features by Generalized Symmetry, Proc. of ICPR, 1:117–120, The Netherlands, 1992.
Romdhani S., Face Recognition Using Principal Component Analysis, Technical Report, University of Glasgow, UK, 1996.
Wiskott L., Fellous J.M., Kruger N., Malsburg C.v.d., Face Recognition by Elastic Bunch Graph Matching, IEEE PAMI, vol. 19, 775–779, 1997.
Yang M.H., Kriegman D., Ahuja N., Detecting Faces in Images: A Survey, IEEE Trans. on PAMI, vol. 24, 34–58, 2002.
Zhang Z., Lyons M., Schuster M., Akamatsu S., Comparison Between Geometry-Based and Gabor-Wavelets-Based Facial Expression Recognition Using Multi-Layer Perceptron, Proc. of Intl. Conf. on Automatic Face-and Gesture-Recognition, Nara, Japan, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, LLC
About this paper
Cite this paper
Andrysiak, T., Choraś, M. (2006). Image Filtration and Feature Extraction for Face Recognition. In: Saeed, K., Pejaś, J., Mosdorf, R. (eds) Biometrics, Computer Security Systems and Artificial Intelligence Applications. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36503-9_1
Download citation
DOI: https://doi.org/10.1007/978-0-387-36503-9_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-36232-8
Online ISBN: 978-0-387-36503-9
eBook Packages: Computer ScienceComputer Science (R0)