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  Approaches, Challenges and Framework of Age Invariant Face Recognition  
  Authors : Seyyed Mohammad Hossein Dadgar; Hanieh Maleki
  Cite as:

 

Content-based image retrieval that retrieves images based on their visual content has expanded rapidly in recent years and is transformed into an important research issue. One of the main branch image retrieval is retrieval of human face that its aim is to explore and extract facial images in a database that match a reference image or a series of key words. Face recognition is very useful in security issues compared to other biometric components due to no need for cooperation. That's why a lot of research has been done on a variety of face recognition methods. Changes in illumination, occlusion and pose are the main problems that researchers have ever faced. While the issue of aging, which is one of the important issues, especially on documents, passports and police records is less considered compared to other factors effective on face recognition. This article has dealt with this issue. In this paper the framework of AIFR that includes three main stages of feature extraction, dimension reduction and face matching has been examined. The latest methods of AIFR have been reviewed and suggestions are provided for the future works.

 

Published In : IJCSN Journal Volume 6, Issue 5

Date of Publication : October2017

Pages : 588-593

Figures :11

Tables : 02

 

Seyyed Mohammad Hossein Dadgar : is a master researcher in computer science at the university of azad central tehran branch. His research interests include computer vision, neural networks, and image captioning. he received a bachelor in hardware engineering from Isfahan university of technology, a masters in computer science in 2009 and 2016, respectively.

Dr.V.Sharma : born in Aligarh, UP. Worked as a Professor (CSE), in Aligarh Muslim University,Aligarh, Uttar- Pradesh, India. He Guided Number of Ph.D Scholars in Aligarh Muslim University & Published number of Journals. Research interest includes Software Engineering, Networks and Testing Methodologies & Published number of Journals.

Hanie Maleki : is a Master student in Computer Science at the University of Azad Central Tehran branch, Iran. Her research interests include Image Processing, face and object detection and classification, attributes learning, neural networks, and image captioning. She received a Bachelor in Software Engineering from Iran Khayyam University, in 2012.

 

Image retrieval, Biometric, Face recognition, Aging

Face recognition can be considered recognition of a very complex object, where the detected object is the face. Solving this problem is even more strict, because search for objects is done among objects belonging to the same class. Moreover, in most cases, more than one visible image is not available to train the system and various problems arise when the images were not obtained under controlled conditions. In this study it was aimed to review the challenges, concepts and methods provided for AIFR.

 

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