alexa AN ADAPTIVE NEURAL NETWORK CLASSIFIED BASED IMAGE FORG
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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

AN ADAPTIVE NEURAL NETWORK CLASSIFIED BASED IMAGE FORGERY DETECTION

K.Shanmugapriya1, M.Soniya2
  1. Assistant professor, Dept. of ECE, Lord Jegannath College Of Engg & Technology, Kumarapuram, Kanyakumari District, India
  2. PG Student [Applied Electronics], Lord Jegannath College Of Engg & Technology, Kumarapuram, Kanyakumari District, India
Related article at Pubmed, Scholar Google
 

Abstract

Forgery is an illegal modification or reproduction of an image, document signature, legal tender or any other means of recording information. Now-a-days, forgery detection is very important for real world events. In this, forgery detection is performed based on Neural Network. This method requires only a minimum amount of human interaction and provides a crisp statement on the authenticity of the image. It is applicable to images containing two or more people and requires no expert interaction for the tampering decision. The illuminant color using a statistical gray edge method and a physics-based method which exploits the inverse intensity-chromaticity color space. Illuminant maps are treated as texture maps. The information is extracted by the distribution of edges on these maps. In order to describe the edge information, a new algorithm is used based on edge-points and the HOG edge.

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