alexa A Novel Idea for Age Invariant Face Recognition
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on: https://twitter.com/ijirset_r
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

A Novel Idea for Age Invariant Face Recognition

Sonu Agrawal1 Sushil Kumar2, Sanjay Kumar3
  1. Ph.D. Scholar, Department of Computer Science & Engineering, BIT Durg, Chattisgarh, India
  2. Professor & Principal, Pragati college of Engineering, Raipur Chattisgarh, India
  3. Professor & Head, SoS Computer Science, Pt. RSU, Raipur Chattisgarh, India3
Related article at Pubmed, Scholar Google
 

Abstract

Biometric identification is the technique of automatically identifying or verifying an individual by a physical characteristic or personal trait. The term “automatically” means the biometric identification system must identify or verify a human characteristic or trait quickly with little or no intervention from the user. A face recognition system is non-invasive means it allow user to be identified by simply walking past a camera. Human beings often recognize one another by unique facial characteristics. Automatic facial recognition also uses certain facial characteristics that are unique in nature. Facial recognition is the most successful form of human surveillance. The basic idea of this work focuses on the updation of corpus (database) by using a method based on feature extraction which is combined with minimization algorithm for searching process. This approach may be applied to other databases in which the data items varies with time such as human signature and other behavioural activities. The proposed idea first extracts features from the face images. These extracted features are stored in database during training period. Later on this database is used for identification. At the time of identification certain fitness function is calculated, if the value of fitness function decreases below a threshold value then the database is updated with features extracted from new image that is being identified. As in proposed idea the corpus is updated during recognition phase, it is expected to gives high acceptance rate as compared to static matching of face images. The application of this project range from static matching of controlled format photographs such as passports, credit cards, photo ID’s, drivers licenses, and mug shots to real time matching of surveillance video images.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords