Intelligent Image Watermarking based on Handwritten Signature
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 9
Abstract
With the growth of digital technology over the past decades, the issue of copyright protection has become especially important. Digital watermarking is a suitable way of addressing this issue. The main problem in the area of watermarking, is the balance between image transparency and resistance to attacks after watermarking, where an increase in either one of them will always cause a decrease in the other. Providing statistical and intelligent methods, is the most common way of optimizing resistance and transparency. In this paper, the intelligent method of genetic algorithm (GA) in watermarking will be examined and also the results of using this method will be compared with the results of a statistical SVD-based method. Also, by combining the issues of watermarking and authentication, a relatively higher security in these two issues can be achieved. In this scheme, the security of watermarking increases through the provision of a new method which is based on the combination of image watermarking with a person's handwritten signature. It must be mentioned that the section of signature recognition is implemented using neural networks. The results from implementing these two methods show that in this area, intelligent methods have a better performance compared to statistical methods. This method can also be used for tasks like passport or national identity card authentication.
Authors and Affiliations
Saeid Shahmoradi, Nasrollah Sahragard, Ahmad Hatam
Keywords
Related Articles
- EP ID EP90981
- DOI 10.14569/IJACSA.2016.070907
- Views 62
- Downloads 0
Object Detection System to Help Navigating Visual Impairments
The number of people with severe visual impairments and blind people in the world is 216.6 million and 38.5 million, respectively in 2018 and that number will increase every year. While the development of Computer Vision...
Bond Portfolio Analysis with Parallel Collections in Scala
In this paper, we report the results of new experiments that test the performance of Scala parallel collections to find the fair value of riskless bond portfolios using commodity multicore platforms. We developed f...
Implicit Thinking Knowledge Injection Framework for Agile Requirements Engineering
Agile has become commonly used as a software development methodology and its success depends on face-to-face communication of software developers and the faster software product delivery. Implicit thinking knowledge has...
The Growing Role of Complex Sensor Systems and Algorithmic Pattern Recognition for Vascular Dementia Onset
Vascular Dementia is often Clinically diagnosed once the effects of the disease are prevalent in a person’s daily living routines. However previous research has shown various behavioral and physiological changes linked t...
Development of Mobile-Interfaced Machine Learning-Based Predictive Models for Improving Students’ Performance in Programming Courses
Student performance modelling (SPM) is a critical step to assessing and improving students’ performances in their learning discourse. However, most existing SPM are based on statistical approaches, which on one hand are...