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		<title>Current</title>
		<description>OnGoing Thesis / Projects</description>
		
		<content><![CDATA[<span class="title">Current Projects</span>
<p align="justify"><span class="highlight">Image Forgery Detection</span></p>
<p align="justify">In the current era of technology and multimedia we find ourselves surrounded by Digital Images. Considering the rapid advancement in Image Processing it has been very easy to manipulate any digital image using sophisticated tools like  PhotoShop, CorelDraw etc. This proposed theses shall provide some methods and algorithms that will attempt to restore authenticity and integrity in digital images.</p>

<p align="justify"><span class="highlight">Advance high level Content Based Image Retrieval system for Logo and Trademark Distinctivity</span></p>
<p align="justify">Find out similar deceptive Trademarks from a database on the basis of their colour, texture, shape, spatial features and text within them.</p>

<p align="justify"><span class="highlight">De-skewing, De-warping and De-noising of perspectively distorted documents: A comparision between Geometrical Methods and Machine Learning Approach.</span></p>
<p align="justify">The main research directions in camera captured document analysis is to deal with the page curl and perspective distortions. Current document analysis and optical character recognition systems do not expect these types of artifacts and show poor performance ,when applied directly to camera-captured documents. The goal of text de-skewing is to re-orient the skewed text lines and the goal of text de-warping is to flatten a camera-captured document such that it becomes readable by currently OCR systems. We will use Support Vector Machine and Neural Network for our Machine Learning Approach.</p>

<p align="justify"><span class="highlight">User state modeling using EEG signals</span></p>
<p align="justify">Interface is the most crucial part of any system. Traditionally the evaluation of interface is done by surveys or think-aloud method which don't give valuable insight into the user’s changing experience throughout the task. The motive is to develop objective technique to measure user states such as workload, emotion and fatigue in real time using EEG signals of UI evaluation. </p>  

<p align="justify"><span class="highlight">Facial expression recognition from Audio-Visual information using Wavelet and Curvelet transform</span></p>
<p align="justify">Facial expression recognition is an interesting topic of research. This project proposes the combined use of Wavelet Transform and Digital Curvelet Transform for recognition of facial expression from video.</p>

<p align="justify"><span class="highlight">Computer Vision based Virtual keyboard (Projected or Generic)</span></p>
<p align="justify">A projected visible virtual keyboard that can be touched on any surface and a video screen. The webcam watches finger movements using "Computer Vision" and translates them into keystrokes in the device. The proposed system will thus represent a ultracompact, portable computer.</p>

<p align="justify"><span class="highlight">Hybrid Approach for Text Detection and Localization in Natural Scene Images</span></p>
<p align="justify">Text detection and analysis from natural scene images using hybrid techniques of signal and image processing.</p>
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		<title>Previous</title>
		<description>Past Thesis / Projects</description>
		
		<content><![CDATA[<span class="title">Previous</span>
<p align="justify"><span class="highlight">Digital Image Forgery Detection </span></p>
 <p align="justify">Three types of image forgery detection was done:
1. Image Composting.
2. Image Enhancement.
3. Copy Move Forgery.</p>

<p align="justify"><span class="highlight">Lesion detection in eye due diabetic Retinopathy.</span></p>
<p align="justify">This system, with the help of morphological image processing techniques, we are trying to detect lesions in two categories i.e. dark and bright lesions</p>

<p align="justify"><span class="highlight">Content based Image Retrieval using Trademark Database</span></p>
<p align="justify">Content based image retrieval (CBIR) has been an active area of research due to its wide range of applicability and the major reduction in effort that it provides. This work focuses on the use of CBIR systems in the field of intellectual property rights. Preventing trademark infringement was the main objective of this project.</p>

<p align="justify"><span class="highlight">Graph Based Energy Efficient Data Gathering in Wireless Sensor  Networks</span></p>
<p align="justify">Data gathering plays an important role in several applications of wireless sensor network. Better protocols are always needed to improve the lifetime of the network. This thesis analyses the existing approaches and proposes a Greedy Multilevel Clustering Algorithm (GMCA) of data collection which makes a dynamic path for multiple nodes to connect to the base station (BS) in a Wireless Sensor Network (WSN) which results in increment of the lifetime of the WSN.</p>

<p align="justify"><span class="highlight">A new multilinear discriminant analysis method for face recognition with fewer features under illumination and expression variations</span></p>
<p align="justify">This project makes use of fewer and effective features than traditional algorithms without relegation in recognition accuracy.</p>

<p align="justify"><span class="highlight">Human action recognition in video stream</span></p>
<p align="justify">This project focused upon recognizing human actions such as walking ,running, jumping, bending etc. A scalable algorithm. It uses interest point detection for achieving the same.</p>

<p align="justify"><span class="highlight">Question Answering System(Open Domain)</span></p>
<p align="justify">This system fetches the answer from huge database on the bases of syntactic and semantic similarity.</p>

<p align="justify"><span class="highlight">Hand Gesture Recognition using Data-Glove</span></p>
<p align="justify">This thesis work, a real-time Human-Computer Interaction system based on the DG-Tech VHand 2.0 data glove(Bluetooth version) has been designed. Recognition of hand gesture accurately and successfully using data glove has been done.</p>

<p align="justify"><span class="highlight">Detection of Crop Diseases in Fruits and Vegetables using Plant Leaf Image Dataset.</span></p>
<p align="justify">This system provides a robust Automatic Plant Leaf Identification and Disease Detection Biometric System which is capable to recognize plant leaves by the visual characteristics of plant leaf.
	
and many more...</p>]]></content>
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