Review of Classification of Copy Move Forgery
Copy move forgery is one of the important fields in forensic science for image pro-cessing. Image forgery is different like copy move attack, image splicing and image retouching. In this paper review the specific copy move forgery images and its detection methods.
Published by: Rekha Devi, Deepti Chauhan
Author: Rekha Devi
Paper ID: V3I4-1247
Paper Status: published
Published: July 31, 2017
Classification of copy move forgery and normal images by ORB features and SVM classifier
Today, the characterization of the technological age is done by the digital images spread. They are the most common form of conveying information whether through internet, newspapers, magazines, or scientific journals. They are used as a strong proof against various crimes and as evidence used for various purposes. The modification, capturing or creating of the image has become easier and available with the emergence of means of image editing and processing tools. One of the most important and popular type of image forgery is copy-move forgery in which an image part is copied and then pasted into the same image that has intention of hiding something important or showing a false scene. Because the important properties of the copied parts comes from the same image, such as brightness, noise, and texture which will be compatible with the entire image that makes more difficult for experts for the detection and distinguishing the alteration. Usually, the detecting copy move forgery conventional techniques suffer severely from the time-consuming problem. The evaluation of the improved method had been done using (150) images that was selected from two different datasets, “CoMoFoD” and “MICC-F2000”. Experimental results show that the improved method can accurately and quickly reveal the doubled regions of a tampered image. In addition, greatly reducing the processing time in comparison to the khan algorithm, and the accuracy is kept at the same level. Owing to the availability and technological advancement of the image editing sophisticated tools, there is increase in the loss of authentication in digital images. Thus, this led us to the proposal of different detection techniques that checks whether the digital images are forged or authentic. The specific type of forgery technique is copy move forgery in which widely used research topic is detection under digital image forensics. In this thesis an enhancement of copy move image forgery classification is done by implementing a hybrid features with classification algorithm like SIFT with SVM and EM algorithm and ORB with SVM and EM .The technique works by applying firstly the DCT on an image and then on an resultant image, SIFT is obtained after applying DCT. A supervised learning method is proposed for classifying a copy-move image forgery of TIFF, JPEG, and BMP. The process starts with reducing the color of the photos. Achieve the accuracy more than 90%.
Published by: Rekha Devi, Deepti Chauhan
Author: Rekha Devi
Paper ID: V3I4-1246
Paper Status: published
Published: July 31, 2017
Challenges before Micro, Small and Medium Enterprises and Role of Government
MSME meaning is The Micro, Small and Medium Enterprise (MSME), the sector considered as the most vibrant and dynamic sector of the Indian economy over the five decades. The major characteristics of Indian MSMEs is a high contribution to domestic production, significant export earnings, low investment requirements, operational flexibility, location wise mobility, capacities to develop appropriate indigenous technology, import substitution, contribution towards defense production technology-oriented industries and competitiveness in domestic and export markets help them tap opportunities in various sectors. This sector not only source of providing large employment opportunities at comparatively lower capital cost than large industries but also it helps in the industrialization of rural & backward areas, which ultimately helps in reducing Regional imbalances, assuring more equitable distribution of national income and wealth. MSMEs are similar to, large industries as ancillary units and contribute enormously to the socio-economic development of the country.Micro Small and Medium Enterprises have played a significant role in the economic development of the various countries. India certainly is no exception. The sector which has such a remarkable contribution to economy need to look into the other side i.e. the challenges. India being a democratic country government rests with larger responsibility. So in the article we have discussed the challenges and the role of government and its effactiveness.
Published by: Dr. Shashikant Magar
Author: Dr. Shashikant Magar
Paper ID: V3I4-1209
Paper Status: published
Published: July 31, 2017
Parametric Optimization of Hot Machining Process for Aisi4140 Material Using Grey Relational Technique.
In the industries, there is a need of materials with very high hardness and shear strength in order to satisfy industrial requirements. So many materials which satisfy the properties are manufactured. Machining of such materials with conventional method of machining was proved to be very costly as these materials greatly affect the tool life. So to decrease tool wear, power consumed and increase surface finish Hot Machining can be used. The L9 orthogonal array of a Taguchi experiment is selected for four parameters (speed, feed rate, depth of cut and temperature) with three levels (low, medium, and high) in optimizing the hot machining turning parameters on lathe.
Published by: Jagjit Singh
Author: Jagjit Singh
Paper ID: V3I4-1258
Paper Status: published
Published: July 29, 2017
Robust Approach of Compressing Images Using DCT and Analysis of Parameters PSNR, CR
Image compression is one of the tedious tasks in the field of image transmission via internet and to store in binary or digital form on computers and other storage devices. The necessity of bandwidth of channel relies on many aspects like data and size of file to be transferred. Compressing an image is significantly different than compressing raw binary data. If we used general or outdated technique to compression images then result would be not optimal as it should be. This is because images have definitely statistical properties which can be triggered or exploited by encoders which are implemented or design for them. In image we have to give up some fine details for the sake of saving a little more bandwidth or storage space. So we can say that lossy compression technology. In this dissertation compression of digital images are done with the help of DCT. Several encoding technique have also been used together with DCT to improve the performance of compression. A computational analysis of picture quality is also made with respect to compression ratio and PSNR.
Published by: Madhu, Sunil Dalal
Author: Madhu
Paper ID: V3I4-1242
Paper Status: published
Published: July 29, 2017
Personality Based Indian Song Suggestions
Songs play a very important role in living beings. Dr. Jagdish Chandra Bose, the pioneer of music impact on plant growth had experimented & shown the results that even plants respond positively to the nice music. We, the people generally tend to hear only the trending songs & listen to sings under peer influence. But people should hear right kind of music suitable to their personality traits in order to bear the musical health benefits. An experiment was carried out where participants were asked to answer personality related questionnaire & were asked about their music preferences. The study shows that among the five traits each trait has got to do something with the Indian music genres. The App has been tested over 70 people. Till date we knew music has some impact but with this study which music/ song genres are suitable to what kind of personalities has been attempted.
Published by: Ela Gore
Author: Ela Gore
Paper ID: V3I4-1238
Paper Status: published
Published: July 29, 2017
