176 Int. J. Biometrics, Vol. 10, No. 2, 2018 Copyright © 2018 Inderscience Enterprises Ltd. New face expression recognition using polar angular radial transform and principal component analysis Imène Taleb*, Madani Ould Mammar and Abdelaziz Ouamri Department of Electronics, Faculty of Electrical Engineering, Université des sciences et de la technologie d’Oran – Mohamed-Boudiaf, B.P. 1505. El Mnaouer, Oran, 31000, Algeria Email: imene.taleb@univ-usto.dz Email: madani.ouldmammar@univ-mosta.dz Email: ouamri@yahoo.com *Corresponding author Abstract: This paper presents a new method for facial expression recognition (FER) using a polar mathematical development based on the angular radial transformation (ART). This method is combined by polar angular radial transform (P-ART) and principal component analysis (PCA). The new ART is a powerful descriptor in terms of robustness, description form and way more information-rich compared to the conventional Cartesian descriptor. Support vector machine (SVM) training is used to recognise the facial expression for an input face image. Finally, the experimental results show the performance of the P-ART and the PCA. The fusion of these two techniques can be better than other existing methods of recognition of facial expression. During the experiment, the basis of facial given Japanese female facial expression (JAFFE) and the Cohn-Kanade databases has been used. Keywords: facial expression recognition; FER; polar angular radial transform; P-ART; principal component analysis; PCA; support vector machine; SVM; fusion; Japanese female expression; JAFFE; Cohn-Kanade. Reference to this paper should be made as follows: Taleb, I., Mammar, M.O. and Ouamri, A. (2018) ‘New face expression recognition using polar angular radial transform and principal component analysis’, Int. J. Biometrics, Vol. 10, No. 2, pp.176–194. Biographical notes: Imène Taleb received her Master’s (first-class honours) in Electronic and Communication from the University of Sciences and Technologies MB, Oran, Algeria in 2011. She is currently pursuing her PhD in the Department of Electronic, USTO-MB, Algeria. Since December 2014, she has been a Research Engineer at the Satellite Development Centre, Oran, Algeria. He is a member of optical and radar detection team, her research interests include diverse area of image processing, biometric and computer vision. Madani Ould Mammar received his Master’s (DES) in Mathematics from the University of Oran in 1975, Master’s in EEA from the University of Caen, France in 1978 and Doctorate in Cycle in Control Theory from the University of Compiegne, France in 1981 and Doctorate d’Etat in Applied Inverse Problems from the University of Science and Technology Oran, Algeria in