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<h2>Projects HCI (2014-15)</h2>
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<h5>Image Forgery Detection</h5>
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 thesis shall provide some methods and algorithms that will
attempt to restore authenticity and integrity in digital images.
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<h5>Advance High Level Content Based Image Retrieval system for
Logo and Trademark Distinctivity</h5>
Find out similar deceptive Trademarks from a database on the basis
of their colour, texture, shape, spatial features and text within
them. <br />
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<h5>De-skewing, De-warping and De-noising of perspectively distorted
documents: A comparision between Geometrical Methods and Machine
Learning Approach.</h5>
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.
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<h5>User state modeling using EEG signals</h5>
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. <br />
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<h5>Facial expression recognition from Audio-Visual information using
Wavelet and Curvelet transform</h5>
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. <br />
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<h5>Computer Vision based Virtual keyboard (Projected or Generic)</h5>
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. <br />
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<h5>Text Detection and Localization in Natural Scene Images</h5>
Text detection and analysis from natural scene images using hybrid techniques
of signal and image processing.
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<h2>Projects HCI (2013-14)</h2>
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<h5>Digital Image Forgery Detection </h5>
Three types of image forgery detection was done:<br />
1. Image Composting.<br />
2. Image Enhancement.<br />
3. Copy Move Forgery.<br />
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<h5>Lesion detection in eye due Diabetic Retinopathy.</h5>
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 <br />
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<h5>Content based Image Retrieval using Trademark Database</h5>
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.
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<h5>Graph Based Energy Efficient Data Gathering in Wireless Sensor
Networks</h5>
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. <br />
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<h5>A new multilinear discriminant analysis method for face recognition
with fewer features under illumination and expression variations</h5>
This project makes use of fewer and effective features than traditional
algorithms without relegation in recognition accuracy. <br />
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<h5>Human action recognition in video stream</h5>
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. <br />
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<h5>Question Answering System(Open Domain)</h5>
This system fetches the answer from huge database on the bases of syntactic
and semantic similarity. <br />
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<h5>Hand Gesture Recognition using Data-Glove</h5>
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. <br />
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<h5>Detection of Crop Diseases in Fruits and Vegetables using Plant
Leaf Image Dataset.</h5>
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. <br />
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