Aging Face Recognition System using Local Pattern Selections

Author(s):

Shraddha Sharad Kasbe , Bharati Vidyapeeth College of Engineering,Navi Mumbai,Kharghar; Pranali Mhatre, Bharati Vidyapeeth College of Engineering,Navi Mumbai,Kharghar; Trupti Hankare, Bharati Vidyapeeth College of Engineering,Navi Mumbai,Kharghar; Pratiksha Musale, Bharati Vidyapeeth College of Engineering,Navi Mumbai,Kharghar

Keywords:

Aging Face, Face Recognition, Intra-User Dissimilarity, Feature Descriptor

Abstract:

Aging is the biological process of growing older in a deleterious sense. Automatic Face Recognition is based on recognizing the faces of same person across different ages which has many real time applications such as identifying missing children, identifying criminals. The major cause of aging is facial features of same person is changed due to aging process. Intra-user dissimilarity is used to describe the changes that happened to the same person’s facial features due to aging. This paper is proposed to solve the problem by introducing an effective method with hierarchical learning model based on Local Pattern Selection (LPS). LPS algorithm is used for low-level learning visual structures. It minimizes the intra-user dissimilarity. The first level, low level features are extracted using LPS descriptor and at the second level the output of first level is used as an input to the second level to produce refined and accurate results.

Other Details:

Manuscript Id	:	IJSTEV4I7039
Published in	:	Volume : 4, Issue : 7
Publication Date	:	01/02/2018
Page(s)	:	100-104

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