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Veeramanikandan, K.
- Secure Image Steganography Combined with DES Encryption
Authors
1 Department of Computer Science, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
2 Department of Computer Science, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
Source
Wireless Communication, Vol 7, No 7 (2015), Pagination: 228-231Abstract
Keeping in mind the end goal to enhance the security of steganography, this paper concentrated on picture steganography joined with pre-handling of DES encryption. At the point when transmitting the mystery data, firstly, scramble the data expected to cover up by DES encryption is encoded, and after that is composed in the picture through the LSB steganography. Encryption calculation enhances the least coordinating execution between the picture and the qualities of the mystery data to upgrade the opposition to recognition of the picture steganography. The exploratory results demonstrated that the opposition to identification vigor of picture steganography joined with pre-preparing of DES encryption is discovered vastly improved than the way utilizing LSB steganography calculations specifically.
Keywords
Information Hiding, Steganography, DES Encryption, High Security.
- Classification of Features in Image Sequences
Authors
1 Department of Computer Science, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
2 Department of Computer Science, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
Source
Digital Image Processing, Vol 7, No 9 (2015), Pagination: 282-284Abstract
Processing of image arrangements is an exceptionally genuine pattern now. This is affirmed with an immense measure of examines here. The likelihood of a picture arrangement handling and example acknowledgment got to be accessible in light of expanded PC abilities and better photograph and camcorders. The element extraction is one of the fundamental strides amid picture handling and example acknowledgment. This paper introduces a novel grouping of elements of picture arrangements. The proposed order has three gatherings: 1) Components of a solitary picture, 2) Elements of a picture grouping, 3) Semantic elements of a watched scene. The primary gathering incorporates elements extricated from a solitary picture. The second gathering comprises of elements of any sorts of picture successions. The third gathering contains semantic components. Converse element elucidation technique is the iterative system when on every cycle we utilize more elevated amount elements to concentrate lower level elements all the more exactly. The proposed characterization of elements of picture arrangements takes care of an issue of disintegration of the source highlight space into a few gatherings. Converse element illumination system permits to expand the nature of picture preparing amid iterative procedure.
Keywords
Image Sequences, Feature Extraction, Feature Classification, Semantic Features, Feature Clarification.- Image Watershed Segmentation using Super Pixels Morphology
Authors
1 Department of Computer Science, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
2 Department of Computer Science, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
Source
Digital Image Processing, Vol 7, No 8 (2015), Pagination: 230-233Abstract
Dynamic Detection and division of rocks is a vital first errand in numerous applications, for example, land examination, planetary science and mining procedures. Rocks are generally portioned utilizing an assortment of components, for example, composition, shading, shape and edges. It is less demanding to register these elements for rock super pixels as opposed to each pixel in the picture. A superpixel is a gathering of spatially lucid pixels that shape an important homogeneous area, generally fitting in with the same item. In this paper, we perform a relative investigation of a percentage of the current superpi.xel calculations on rock pictures as to their capacity to hold fast to picture limits, their pace, and their effect on rock division execution. Additionally, we propose another and exceptionally basic superpixel calculation, Super pixels Using Morphology (SUM), which permutes a watershed change way to deal with effectively produce super pixels. We demonstrate that SUM accomplishes an execution tantamount to the late superpixel calculations on the stone pictures.Keywords
Morphology, Watershed Segmentation, Area Closing, Super Pixels, Rock Particles.- Automatic Organ Identification System
Authors
1 Department of Computer Science, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
Source
Biometrics and Bioinformatics, Vol 7, No 1 (2015), Pagination: 1-3Abstract
Organ donation plays a vital role in India since so many people are dying due to lack of organ donor. In order to overcome this issue and also to get organ donor as soon as possible we have implemented website for storing organ donor details and getting those details in time. When organ donor registered in document unable to gather the details as soon as possible so by creating this websites we can able to get the details of organ donor details anywhere from world. This can be used in all hospitals with the help of doctor’s prescriptions and previous medical history with all kinds of test. In case of personal identification we proposed thumb impression, face recognition and unique identification was created for all users. This paper proposed mainly avoiding death due to lack of organ during accident.