Avinash Keskar

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Powerful image editing tools like Adobe Photoshop etc. are very common these days. However due to such tools tampering of images has become very easy. Such tampering with digital images is known as image forgery. The most common type of digital image forgery is known as copy-move forgery wherein a part of image is cut/copied and pasted in another area of(More)
We are currently leaving in a pure digital world where all type of information is mostly stored in digital form. Thus storage of the information is no more a problem and the information can be easily passed on from one place to another in digital format. The big benefit however comes with the hidden loss and in this case it is the tampering of images and(More)
A reliable traffic flow monitoring and traffic analysis approach using computer vision techniques has been proposed in this paper. The exponential increase in traffic density at urban intersections in the past few decades has raised precious and challenging demands to computer vision algorithms and technological solutions. The focus of this paper is to(More)
Sign language is the language of the people with hearing and speaking disabilities. In it mostly hands are moved in a particular way which along with some facial expression produces a meaningful thought which the speaker would like to convey to others. Using the sign language people with speaking and hearing disabilities can communicate with others who know(More)
In computer-aided diagnosis (CAD) of mediolateral oblique (MLO) view of mammogram, the accuracy of tissue segmentation highly depends on the exclusion of pectoral muscle. Robust methods for such exclusions are essential as the normal presence of pectoral muscle can bias the decision of CAD. In this paper, a novel texture gradient-based approach for(More)
This paper highlights the two machine learning approaches, viz. Rough Sets and Decision Trees (DT), for the prediction of Learning Disabilities (LD) in school-age children, with an emphasis on applications of data mining. Learning disability prediction is a very complicated task. By using these two approaches, we can easily and accurately predict LD in any(More)
In recent years, the number of vehicles has increased dramatically. This causes a high traffic density and makes new security features a crucial point in order to keep the traffic safe. Developing automotive collision warning and avoidance systems will be very effective for reducing fatalities, injuries and associated costs. In order to develop an(More)