subspace. The projection operation requires many floating-point multiplications and additions‚ which makes the projection process computationally expensive. To tackle this problem‚ this project proposes two simple-but-effective fast subspace learning and image projection methods‚ fast Haar transform (FHT) based principal component analysis. The advantages of this methods result from employing both the FHT for subspace learning and the integral vector for feature extraction. Experimental results on face‚iris
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ACKNOWLEDGEMENT First of all I want to thank ALLAH for his love and blessings to me; it is his blessings only that I am able to complete this project. I want to express my gratitude to all those who had accompanied & supported me. I want to express my sincere and humble gratitude to Prof. Jamal A Khan‚ Chairman of Department of WildLifeSciences‚ AMU‚ ALIGARH for giving me opportunity to work here and to carry out my dissertation work in this university. I am extremely thankful to Dr.Satish Kumar
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still encountered with few problematic challenges‚ especially in the process of separating the iris from the eye image and eyelids and eyelashes as it leads to reduction of the accuracy. To enhance the accuracy of iris segmentation‚ therefore‚ this study was carried-out using Integro-differential Operator approach in the segmentation process with the aim of locating the iris region of eye image‚ by employing one centre of the iris and pupil. This approach is found more effective in emphasizing the accuracy
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Gujarat Technological University‚ Ahmedabad. I interact with a number of students every year. Very few leave a mark. Mr. Darshan Patel is certainly one of them. He attended my lectures on Embedded System in 7thsemester and on Fundamentals Of Image Processing in 8thsemester. Darshan is an intelligent student and is capable of achieving high success in innovative engineering solutions with expert guidance and grooming in his field of interest in the subject. Darshan is a very bright student and is
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Real time object tracking is considered as a critical application. Video object tracking has got wide application in vision‚ security‚ observational issues in natural science and in various other fields. Video surveillance for security purpose is one of its major applications. Object tracking has high priorities in religious places‚ market buildings‚ courts‚ train stations and airports. Various other applications include military‚ astronomy‚ road traffic regulation‚ robotics‚ medical imaging. Gesture
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Project Report On LICENSE PLATE RECOGNITION SYSTEM PROJECT GROUP MEMBERS A. NISHANTH J. VISHWESH NACHIKET VASANT VAIDYA NAVEEN SUKUMAR TAPPETA R. ANAND UNDER THE GUIDANCE OF PROF. S. R. SATHE DEPARTMENT OF COMPUTER SCIENCE VISVESVARAYA NATIONAL INSTITUTE OF TECHNOLOGY NAGPUR 2008-2009 DEPARTMENT OF COMPUTER SCIENCE VISVESVARAYA NATIONAL INSTITUTE OF TECHNOLOGY NAGPUR 2008-09 CERTIFICATE This Is To Certify That A. Nishanth J. Vishwesh Nachiket Vasant
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which controls the levels set segmentation and it detect the retinal clots at an early stage from the image captured from fundus camera. The classifier is a probabilistic and used for the control of level set contour propagation for the detection of class clot defined‚ extracting the retinal vessels even with minute deformation due to the clots. The algorithm is tested in MATLAB on fundus images taken at various stages of progression and results which proves the effectiveness of the proposed
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device that scans the document and reads the data from the marked fields. The error rate for OMR technology is less than 1%. Introduction OMR Software is a computer software application that makes OMR possible on a desktop computer by using an Image scanner to process surveys‚ tests‚ attendance sheets‚ checklists‚ and other plain-paper forms printed on a laser printer. 1.1 Method of getting data from paper to computer There are only three practical methods of getting data from a piece of
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all perceptual units is denoted by $ S $ and the collection of all categories is denoted by $ R $. In his work Bundesen discusses 3 types of perceptual categories‚ namely a color category‚ a shape category and a location category \cite{tva}. Our image retrieval model is founded mainly on color analysis. Therefore‚ we can follow the notation proposed in \cite{tva} with the assumption that perceptual categories are represented solely by colors.
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teja DIGITAL SIGNAL PROCESSING A signal is defined as any physical quantity that varies with time‚ space or another independent variable. A system is defined as a physical device that performs an operation on a signal. System is characterized by the type of operation that performs on the signal. Such operations are referred to as signal processing. Advantages of DSP 1. A digital programmable system allows flexibility in reconfiguring the digital signal processing operations by changing the
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