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Face Recognition Based on Local Derivative Ternary Pattern

2014; Taylor & Francis; Volume: 60; Issue: 1 Linguagem: Inglês

10.1080/03772063.2014.890811

0974-780X

K. Meena, A. Suruliandi, R. Reena Rose,

Face recognition and analysis

ABSTRACTTexture is one of the fundamental features for describing image characteristics. Face can be seen as a composition of micro-patterns of textures. The texture analysis community has proposed a variety of descriptors for face recognition. Local binary pattern (LBP) is a very popular texture operator used in a wide variety of applications including face recognition. Many variants of LBP have been proposed so far and let more emerges due to its overwhelming success. In this series, a new face recognition algorithm called local derivative ternary pattern (LDTP) is proposed in this paper in order to alleviate the face recognition rate under real-time challenges. The strength of the descriptor is demonstrated on four different databases containing more than 2000 face images under variations in lighting, facial expression, and pose. The experimental results show that the proposed LDTP approach provides a better representation of face patterns and achieves higher recognition rates than LBP and its derivatives.Keywords: Face recognitionLocal derivative ternary pattern (LDTP)Texture analysisTexture models Additional informationNotes on contributorsK. MeenaK. Meena received her ME (CSE) degree in 2009 and BE (ECE) degree in 2002 from Manonmaniam Sundaranar University, Tirunelveli. She is working as associate professor in the Department of Electronics & Communication Engineering at J.P College of Engineering, Tirunelveli. Her research interests include biometrics, pattern recognition, and image processing.E-mail: meen.nandhu@gmail.com Display full size A. SuruliandiA. Suruliandi received his doctoral degree in computer science and engineering in 2009 from Manonmaniam Sundaranar University, Tirunelveli. He received his ME (CSE) degree in 2000 from Anna University, Chennai, and BE degree from Government College of Technology, Coimbatore, in 1987. He is working as a professor in the Department of Computer Science & Engineering at Manonmaniam Sundaranar University. His major research interests are in satellite image processing, pattern recognition, and classification of remotely sensed images.E-mail: suruliandi@yahoo.com Display full size R. Reena RoseR. Reena Rose received her M Phil (Computer Science) degree in 2003 and MSc (Computer Science) degree in 1999 from Manonmaniam Sundaranar University, Tirunelveli,. She is working as an associate professor in the Department of Computer Applications in St. Xavier's Catholic College of Engineering, Nagercoil. Her research interests include computer vision, biometrics, and image processing.E-mail: ailtoreenarose@yahoo.in Display full size