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Mail : projects@lemenizinfotech.com
A Visual Model-Based Perceptual Image
Hash for Content Authentication
Abstract
Perceptual image hash has been widely investigated in an attempt to solve
the problems of image content authentication and content-based image retrieval. In
this paper, we combine statistical analysis methods and visual perception theory to
develop a real perceptual image hash method for content authentication. To
achieve real perceptual robustness and perceptual sensitivity, the proposed method
uses Watson’s visual model to extract visually sensitive features that play an
important role in the process of humans perceiving image content. We then
generate robust perceptual hash code by combining image-block-based features
and key-point-based features. The proposed method achieves a tradeoff between
perceptual robustness to tolerate content-preserving manipulations and a wide
range of geometric distortions and perceptual sensitivity to detect malicious
tampering. Furthermore, it has the functionality to detect compromised image
regions. Compared with state-of-the-art schemes, the proposed method obtains a
better comprehensive performance in content-based image tampering detection and
localization.
EXISTING SYSTEM
Image content authentication and content-based image retrieval used in
existing system

2. Do Your Projects With Domain Experts…
Copyright © 2015 LeMeniz Infotech. All rights reserved
Page number 2Page number 2
LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
DRAWBACK OF EXISTING SYSTEM
 No absolute standard for performance evaluation
 Easily caused by malicious attacks
PROPOSED SYSTEM
Watson’s visual model to extract visually sensitive features for process of
humans perceiving image content. Generate robust perceptual hash code by
combining image-block-based features and key-point-based features. The proposed
method achieves a tradeoff between perceptual robustness to tolerate content-
preserving manipulations and a wide range of geometric distortions and perceptual
sensitivity to detect malicious tampering.
ADVANTAGE OF PROPOSED SYSTEM
 Better comprehensive performance in content-based image tampering
detection and localization.
 Image content authentication.
 Tampering detection.
 Image retrieval, digital watermarking, and image registration.
SYSTEM SPECIFICATION
Hardware Requirements
System : Pentium IV 2.4 GHz
Hard Disk : 40 GB

3. Do Your Projects With Domain Experts…
Copyright © 2015 LeMeniz Infotech. All rights reserved
Page number 3Page number 3
LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Floppy Drive : 1.44 Mb
Monitor : 15 VGA Colour
Mouse : Logitech
Ram : 512 Mb
Software Requirements
Operating system : Windows Family
Tools : eclipse
Technology Used : Java
Backend Used : SQLITE