International Research Journal of Computer Science (IRJCS) ISSN: 2393-9842 Issue 04, Volume 6 (April 2019) www.irjcs.com _____________________________________________________________________________________________________________ IRJCS: Mendeley (Elsevier Indexed) CiteFactor Journal Citations Impact Factor 1.81 –SJIF: Innospace, Morocco (2016): 4.281 Indexcopernicus: (ICV 2016): 88.80 © 2014-19, IRJCS- All Rights Reserved Page-193 FACE RECOGNITION WITH OR WITHOUT MAKEUP USING HAAR CASCADE CLASSIFIER ALGORITHM AND LOCAL BINARY PATTERN HISTOGRAM ALGORITHM Anna Liza A.Ramos Dania May P.Aguila Anne Catlyne B.Karunungan Saint Michael’s College of Laguna Saint Michael’s College of Laguna Saint Michael’s College of Laguna Binan City, Laguna, Philippines Binan City, Laguna, Philippines Binan City, Laguna, Philippines annakingramos@yahoo.com.ph ; dmpaguila16@gmail.com ; akarunungan14@gmail.com Jon-Jon B.Patiño Vincent L.Polintan Saint Michael’s College of Laguna Saint Michael’s College of Laguna Binan City, Laguna, Philippines Binan City, Laguna, Philippines jonjonpatino@gmail.com ; vincentpolintaners@gmail.com Manuscript History Number: IRJCS/RS/Vol.06/Issue04/APCS10094 Received: 13, March 2019 Final Correction: 21, April 2019 Final Accepted: 26, April 2019 Published: April 2019 Citation: A.Ramos, P.Aguila, B.Karunungan, B.Patiño & L.Polintan (2019). Face Recognition with or without makeup using HAAR Cascade Classifier Algorithm and local Binary Pattern Histogram Algorithm. IRJCS:: International Research Journal of Computer Science, Volume VI, 193-200. doi://10.26562/IRJCS.2019.APCS10094 Editor: Dr.A.Arul L.S, Chief Editor, IRJCS, AM Publications, India Copyright: ©2019 This is an open access article distributed under the terms of the Creative Commons Attribution License, Which Permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Abstract-Face makeup is applied to cover unwanted marked on the face in order to improve a person’s appearance. However, this is used in criminal activities since makeup can disguise the true identity of the person. This concern serves as the basis by several studies to discover the technique and applied different methods to optimize the detection and improve accuracy. This study aims to conduct an experiment by applying new methods and techniques in order to provide new results which will increase the scope to consider. Furthermore, this study utilized best performing algorithms: the Haar-Cascade classifier for face detection, Color Feature Extraction for detection of face makeup and Local Binary Pattern Histogram algorithm for extraction and recognition of the features which applied in the experiments considering condition from fluorescent light and sunlight, angle variation of 0 degree, 45% upward and downward and distance of 0.5 meter and 1 meter. The study collected an over-all of 3000 images which will serve as the training datasets. In result, the experiment marked an average accuracy of 88.75% comprises all the methods applied. Specifically, the result showed an average result of both sunlight and fluorescent result with no makeup marked an average score of 90% while the result with makeup marked a score of 87.5%. Moreover, the results showed a higher recognition in near distance of 0.5 meters, the fluorescent light recorded an accuracy result of 90% and 0% degree marked a score of 100%. Keywords— Image processing, face recognition; makeup detection; feature extraction; color model; I. INTRODUCTION Image processing is widely used in object detection, visualization, sharpening, restoring of image, and in pattern measurement that translates between the digital imaging devices and the human visual systems [1] that provides useful information. On the other hand, different applications are being developed to recognize the face image of a person [2]– converting the image sensor into digital images that suggests enhancement of image like extracting the objects, changing the size, scaling, and interpreting communications across a network through compression of an image [3].