Abstract: Objective: The aim of my project was to implement the most recently published fully homomorphic encryption scheme. The idea behind this is to protect the data which needs to be shared with others in order for them to work on it without knowing the details of it. Introduction: Homomorphic encryption – encryption that supports operations on encrypted data – has a wide range of applications in cryptography. The concept was first introduced in 1978 by Rivest et al. shortly after the discovery of public key cryptography [1], and many popular cryptosystems, such as unpadded RSA or ElGamal, support either addition or multiplication of encrypted data. It was only in 2009 however, that Craig Gentry discovered the first plausible construction of a fully homomorphic encryption system supporting both operations [2].

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Abstract: Epigraphs are the important source for reshaping the history and the culture of our ancient civilizations. They have a remarkable importance to mankind. In India, the scripts of modern languages have evolved over a period of time and has finally transformed to the present form. Modern epigraphists find it difficult to interpret the scripts of olden days. The characters have changed over the centuries from one form to another. Therefore, for reading ancient scripts the period of that script has to be determined, so as to have knowledge of which character set of ancient days is to be employed for automatic reading. In this paper we demonstrate period identification of various ancient Kannada scripts using advanced recognition algorithms. Proposed algorithm involves various modules including image acquisition, noise removal, segmentation of character sets for feature extraction, classification and recognition of segmented characters. A system is proposed for prediction of the era and it i

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Abstract: Visibility Restoration of single hazy images based on, Colour Analysis and Depth Estimation on Bi-orthogonal Wavelet Transform with Enhanced refined transmission, we proposed an effectively local similarity based adaptive wavelet fusion method for reducing blocky artifacts, which is the major novelty of this work , performance of proposed dehazing method is evaluated on a series of hazy images and compared with several well-known single image dehazing methods. Estimate the dark channel prior based on average. Estimate the value of Air light based on standard deviation (which is a result of standard deviation of RGB haze image and HSV color space haze image), we suggested many rules based on experiments. We suggested to enhance the contrast by local contrast for (V) channel in the HSV color space. Results was very promised visually and by using some quality metrics.

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Abstract: The speech processing and its application to intelligent system is the state of the art research. The systems are getting smarter day by day with the introduction of the speech signal to control the machine. The basic model of human speech system is used to design the algorithm which is able to detect words as well as an alphabetical letter to generate commands and can used used for access control and security system. Once the speech is enhanced and the valued information is extracted, automatic speech recognition system is used to continuously detect the environmental sound and capture the portion of sound which is in the range of human speech frequency.

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Abstract: In this paper, we have developed a simple but totally real time people counter along with an automated device management system controlled by a digital circuit for ensuring proper power consumption. We have assumed a certain scenario by considering a particular space with predefined room capability , where not only the people’s entrance in that room is controlled by a counter and sensor system but also the room’s several electronic devices are controlled by a digital block circuit according to the number of people present in that room.

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Abstract: In this paper we present an approach for to create a Sixth Sense device which works of the principles of gesture recognition and image processing to capture, zoom(in and out) and toggle pictures with ease just by the help of colored caps/LED worn on the fingertips of the user.

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Abstract: Statistics suggests that there are around 40 cases per million of quadriplegia every year. Great people like Stephen Hawking have been suffering from this phenomenon. Our project attempts to make lives of the people suffering from this phenomenon simple by helping them move around on their own and not being a burden on others. The idea is to create an Eye Controlled System which enables the movement of the patient’s wheelchair depending on the movements of eyeball. A person suffering from quadriplegia can move his eyes and partially tilt his head, thus giving is an opportunity for detecting these movements. There are various kinds of interfaces developed for powered wheelchair and also there are various new techniques invented but these are costly and not affordable to the poor and needy people. In this paper, we have proposed the simpler and cost effective method of developing wheelchair. We have created a system wherein a person sitting on this automated Wheel Chair with

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Abstract: Choosing clothes with complicated patterns and colors could be a difficult task for visually impaired individuals. • Clothing pattern recognition is a camera-based paradigm system that acknowledges covering patterns in four classes (plaid, striped, pattern less, and irregular) and identifies eleven covering colors. • Based on statistics from the World Health Organization (WHO), there are more than 161 million visually impaired people around the world, and 37 million of them are blind. • Choosing clothes with suitable colors and patterns is a challenging task for blind or visually impaired people. • They manage this task with the help from family members, using plastic braille labels or different types of stitching pattern tags on the clothes or by wearing clothes with a uniform color or without any patterns. • Automatically recognizing clothing patterns and colors may improve their life quality.

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Abstract: Color is the most common feature to distinguish between objects, sorting, recognizing and tracking. Generally robot is mounted with a camera or the camera is mounted in the workspace to detect the object. This technology can be used in material handling in logistics and packaging industry where the objects moving through a conveyer belt can be separated using a colour detecting robot. In this paper the ‘Objrec’ algorithm is written in MATLAB for performing the operation. The ‘Objrec’ algorithm is executed to identify the object and send the appropriate commands to the microcontroller using serial communication for the robot to perform the sorting operation.

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Abstract: Automatic Vehicle Identification (AVI) has many applications in traffic systems (highway electronic toll collection, red light violation enforcement, border and customs checkpoints, etc.). License Plate Recognition is an effective form of AVI systems. In this project, a smart and simple algorithm is presented for vehicle’s license plate recognition system. The proposed algorithm consists of three major parts: Extraction of plate region, segmentation of characters and recognition of plate characters. For extracting the plate region, edge detection algorithms and smearing algorithms are used. In segmentation part, smearing algorithms, filtering and some morphological algorithms are used. And finally statistical based template matching is used for recognition of plate characters.

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Abstract: This project aims at designing a system to control an electronic device using an authenticated audio message. Such a system will be of great help to the physically challenged who find difficulty in accomplishing there day to day tasks.

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Abstract: The main purpose of this paper is to develop a prototype of high security system for theft detection using face recognition with GSM module to send a message when face recognition fails. The goal of this effort is to develop new algorithms for robust pose-invariant face recognition that overcome many of the limitations found in existing facial recognition systems. Specifically, we are interested in addressing the problem of detecting faces in color images in the presence of various lighting conditions and complex backgrounds as well as recognizing faces under variations in pose, lighting, and expression. This work is separated into two major components (i) Face detection and (ii) Face recognition. Specific tasks include developing modules for face detection, pose estimation, face modeling, face matching, and a user interface. We have developed a robust, near real-time face detection system from color images using a skin-tone color model and facial features. Major facial feat

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