Cognitive Science to Deduct the Classification of Facial Image, Face Verification and Age Estimation



This chapter deals with the following:- Cognitive Science is used  To classify using DTOD; verify with  training set using Maximum Likelihood Classifier; calculate human age with BPNN and to know parameters  with respect to the classification of facial image, verification and  estimation


DTOD; BPNN; MLC; Classification; Facial Image; Estimation; Training Set; Human Age


Muhammad Naeem Ahmed Khan, Sheraz Ahmed Qureshi and Naveed Riaz (2013) “Gender classification with Decision Trees”, International Journal of signal processing, Image processing and pattern recognition, Vol. 6, No. 1, PP: 165-176.

A.Saravanan, Dr.P.Nagarajan (2013), “Performance of ANN in Pattern Recogniton for process improvement using Levenburg-Marquardt and Quasi-Newton algorithms”, IOSR Journal of Engineering, Vol.3.No.3, PP:08-13.

Mark Culp, Kjell Johnson, George Michailidis (2013), “Ada : an R Package for Stochastic Boosting”, Journal of Statistical Software, Vol.54.No.2, PP:1-26.

Sushma Jaiswal S, Dr.Sarita Singh Bhadauria and Dr.Rakesh Singh Jadon (2011) “Morphologicalmethod, PCA and LDA with neural networks face recognition”, Journal of Global Research in Computer Science, Vol 2, No. 6, PP: 35-47.

Nabil Hewahi, Aya Olwan, Nebal Tubeel, Salha EL-Asar, Zeinab Abu-Sultan (2010) “Age Estimation based on Neural Networks using Face Features” Journal of Emerging Trends in Computing and Information Sciences Vol. 1, No. 2, PP: 61-67.

Haibin Ling, soatto S, Ramanathan N and Jacobs D.W (2010) “Face verification across age progression using discriminative methods”, IEEE Transactions on Information Forensics and security, Vol.5, No.1, PP:82-91.

Gayathri Mahalingam and Chandra Kambhamettu, (2010), “Face verification with aging using AdaBoost and local binary patterns”, Proceedings of the 7th Indian Conference on Computer Vision, Graphics and Image Processing, PP: 101-108.

Ramesha K, Raja K. B, Venugopal K. R and Patnaik L. M (2010), “Feature extraction based face recognition, gender and age classification”, International Journal of Computer science and Engineering, Vol. 2, No.1S, PP: 14-23.

Gahyun Kim, Jae Kyu Suhr, Ho Gi Jung, Jaihie Kim (2010),” Face Occlusion Detection by using B-Spline Active Contour and Skin Color Information”,11th International Conference Control, Automation, Robotics and Vision, Singapore.

Duan Xiao-dong, Wang Cun-rui, Liu Xiang-dong, Li Zhi jie, Wu Jun, Zhang Hai-long (2010) “Ethnic Features extraction and Recognition of human faces”, 2nd International Conference on Advanced Computer Control, PP:125-130.

Mohamed Y.El Dib and Motaz El-Saban (2010), “Human Age Estimation using Enhanced Bio-Inspired Features (EBIF)”, International Conference on Image Processing, Vol. 1,


M.Chandra Mohan, V.Vijaya Kumar, B.Sujatha (2010), “Classification of Child and Adult Based on Geometric Features of Face Using Linear Wavelets”, Internationl Journal of Signal and Image Processing, Vol.1. No.3, PP:211-220.

Ichikawa K, Mita T, Hori O and Kobayashi T (2008), “Component-Based Face Detection Method for Various types of Occluded Faces”, 3rd International symposium on communication, control and signal processing, PP: 538-543.

Nutao Tan, Lei Huang and Changping Liu (2008) “Face Recognition Based on a single image and local binary pattern”, Proceedings of the 2nd International Symposium on Intelligent Information Technology puplications, PP: 366-370.

Yun Fu, Student Member, IEEE, and Thomas S, Huang, Life Fellow (2008), “Human Age Estimation With Regression on Discriminative Aging Manifold”, IEEE Transactions on Multimedia Vol 10.No. 4, PP:578-584.

Hironobu Fukai, Yuuki Nishie, Kohki Abiko, Yasue Mitsukura, Minoru Fukumi, Masahiro Tanaka (2008), “An Age Estimation System on the AIBO”, International Conference on Control, Automation and Systems, PP:2551-2554.

Xin Geng, Zhi-Hua Zhou, Kate Sith Miles (2008), “Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions”, IEEE Transactions on Neural Networks, PP:1-15.

Eyal Kolman and Michael Margaliot (2008), “A New Approach to Knowledge –Based Design of Recurrent Neural Networks”, IEEE Transactions on Neural Networks, PP:1-13.

Xin Geng, Zhi-Hua Zhou, Smith-Miles, K (2007) “ Automatic Age Estimation Based on Facial Aging Patterns” IEEE Transactions on Pattern Analysis and Machine Intelligence,

Vol. 29, No.12, PP: 2234-2240.

Haibin Ling, soatto S, Ramanathan N and Jacobs D.W (2007), “A study of face recognition as people age”, IEEE 11th International conference on Computer Vision, PP: 1-8.

Shengcai Liao, Xiangxin Zhu, Zhen Lei, Lun Zhang, Stan z.Li (2007), “Learning Multi-scale Block Local Binary Patterns for Face Recognition”, Springer Verlag Lecture Notes in Computer Science , PP:828-837.

KYY Ng, KYL Hon, TMC Lee (2007), “Ageing effect on face recognition”, Asian Journal of Gerontology and Geriatrics, Vol.2.No.2, PP:83-98.

Shu Liao, wei fan, Chung and Dit-Yan Yeung (2006), “Facial expression recognition using advanced local binary patterns, tsallis entropies and global appearance features” International conference on Image processing PP: 665-668.

Shu Liao and Albert C.S. Chung (2006), “ Texture classification by using Advanced Local Binary Patterns And Spatial Distribution of Dominant Patterns”, IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP),


Narayanan Ramanathan, Rama Chellappa (2006), “Modeling Age Progression in Young Faces”, IEEE Computer Society Proceedings of the conference on Computer Vision and Pattern Recognition, Vol. 1, PP: 387-394.

Kazuya Ueki, Teruhide Hayashida and Tetsunori kobayshi (2006), “Subspace – based Age-group classification using Facial Images under various Lighting Conditions”, Seventh International Confernece on Automatic Face and Gesture Recognition, Vol 1, PP:43-48.

Boualleg, A.H Bencheriet Ch: Tebbikh H (2006), “Automatic Face Recognition using Neural Networks-PCA” , Information and Communication Technologies (ICTTA), Vol.1 PP:1920-1925.

J.Shi, A.Samal, D.Marx, (2006), “How Effective Are Landmarks and their Geoetry for Face Recognition”, Computer Vision and Image Understanding, Vol.102.No.2 PP:117-133.

Guillaue Hesuch, Yann Rodriguez and Sebastien Marcel (2006), “Local Binary Patterns as an Image preprocessing for Face Authentication”, Proceedins of the Seventh International Conference on Automatic Face and Gesture Recognition,


X.Tan, S.C Chen, Z-H Zhou, F.Zhang (2005) “Recognizing partially occluded expression variant faces from single training image per person with SOM and soft KNN ensemble”, IEEE Tranactions on Neural Networks, PP: 875-886.

S.K.Zhou and R.Chellappa (2005), “Image Based Face Recognition under illumination and pose variations”, Journal of the Optical Society of America, Vol.22, PP:217-229.

R.Gross, S.Baker, I.Matthews, T.Kanade, (2004), “Face Recognition across pose and illumination” in Handbook of Face Recognition New York, Springer.

A.Lanitis, C.Draganova, C.Christodoulou (2004), “Comparing different classifiers for automatic age estimation”, IEEE Transactions on Systems, Man and Cybernetics, Vol.34.No.1 PP:621-628.

Andreas Lanitis, Chrisina Draganova, Chris Christodoulou (2004), “Comparing Different Classifiers for Automatic Age Estimation”, IEEE Transactions on System, Man and Cybernetics, Vol.34, No.1, February PP:621-628.

G.H.Givens, J.R.Beveridge, B.A.Draper, P.Grother, P.J.Philips (2004), “How features of the human face affect recognition: A statistical comparision of three face recognition algorithms”, Proceedings of Int. Conf. Pattern Recognition, Vol.2.

PP: 381-388.

M.Gandhi, (2004) “A method for automatic synthesis of Ages Human Facial Images”, M.S.Thesis, McGill Univ, Montreal, QC, Canada

V.Blanz, T.Vetter (2003), “Face Recognition based on fitting a 3D morphable model”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.25.No.9, PP:1063-1074.

M.J.Jones and J.M Regh (2002), “Statistical color models with application to skin detection”, Int Journal of Computer Vision, Vol.46.No.1. PP:81-96.

Lanitis, C.J.Taylor, T.F.Cootes (2002), “Toward automatic simulation of aging effects on face images”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.24.No.4, PP:442-455.

P.J.Philips, H.Moon, S.A.Rizvi, and P.J.Rauss (2000), “The FERET evaluation methodology for face-recognition algorithms”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.22.No.10. PP:1090-1104.

Y.H.Kwon, N.da Vitoria Lobo (1999), “Age classification from facial images”, Journal of Computational Vision and Image Understanding, Vol.242.No.2, PP:132-144.

V.Blanz , T.Vetter (1999) , “A morphable model for the synthesis of 3D faces” in Proceedings of SIGGRAPH, 26th Annual Conference on Computer Graphics and Interactive Techniques, PP:187-194.

Henry A.Rowley, Shumeet Baluja, Takeo Kanade (1998), “Neural Network-Based Face Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, PP:1-27.

Belhumeur, P.N, New Haven, Hespanha, J.P, Kriegman, D (1997), “Eigen faces vs. Fisherfaces: recognition using class specific linear projection”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 19, No. 1, PP : 711-720.

A.J.O.Toole, T.Vetter, H.Volz, M.Salter, (1997), “Three-dimensional carcatures of human heads: Distinctiveness and the perception of facial age”, Perception, Vol.26 PP:719-732.

Rama chellappa, Charles L Wilson (1995), “Human and Machine Recognition of Faces : A survey”, Proceedings of the IEEE,

Vol 83, No 5, PP: 705-739

Y.Wu.N.Thalmann, D.Tahalmann (1995) “A Dynamic winkle model of facial animation and skin aging”, Journal of Visualization and Computer Animation, Vol.6, PP:195-205.

Pentlant A, Moghaddam B and Starnel T (1994) “ View – based and modular eigenspaces for face recognition”, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition PP: 84-91.

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