Fingerprint Recognition By ANJALI VATS A thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Technology (ECE) HMRITM Guru Gobind Singh Indraprastha University Date: 25 JUNE 2014 Declaration I Hereby declare that all the design and implementation of the Project is my independent effort except otherwise specified. I also certify that this project have never been submitted for academic
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SUBJECT : How to Improve Brand Recognition in Television Commercials Introduction: The television commercials in India have continued to have a huge variety inthem. They were funny‚ witty‚ emotional‚ inspirational‚ with good music and sound and someeven managed to strike a chord in everyones hearts. Many lasted for a longer period‚somecame and went quickly‚ and some didnt even last even for a couple of weeks. TelevisionCommercials(TVC) are perhaps one of the best tools for creating awareness
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Plant species recognition is a prominent research area similar to Face recognition problem. Plant species recognition done through image processing has common obstacles in images such as illumination‚ viewpoints‚ orientation‚ background colour variations. Apart from this plant species recognition is hard since it has many species with inter-class and intra-class variations. To solve these problems‚ a backpropagation neural network (BPNN) has been created. This BPNN model contains an input layer‚
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Joyce Brown Face Recognition The purpose of this paper is to explain the processes associated with face recognition‚ identification and classification‚ the role of encoding and retrieval processes involved with long-term memory and how it affects face recognition‚ and identify two possible errors that can occur with face recognition. Face perception is multifaceted‚ individuals are capable of gathering a continuous stream of social information‚ ranging from verbal and nonverbal communication
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Speech Recognition 1. Introduction Speech is the vocalized form of human Harvery Fletcher and Homer Dudley communication. It is based upon the firmly established the importance of the syntactic combination of lexicals and signal spectrum for reliable identification names that are drawn from very large of the phonetic nature of a speech sound. (usually about 10‚000 different words) Following the convention established by vocabularies. Each spoken word is these two
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Speech Recognition Technologies Abstract While commercial solutions for precise indoor positioning exist‚ they are costly and require installation of additional infrastructure‚ which limits opportunities for widespread adoption. Inspired by robotics techniques of Simultaneous Localization and Mapping (SLAM) and computer vision approaches using structured light patterns‚ we propose a self-contained solution to precise indoor positioning that requires no additional environmental infrastructure
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pattern recognition In machine learning‚ pattern recognition is the assignment of a label to a given input value. An example of pattern recognition is classification‚ which attempts to assign each input value to one of a given set of classes (for example‚ determine whether a given email is "spam" or "non-spam"). However‚ pattern recognition is a more general problem that encompasses other types of output as well. Other examples are regression‚ which assigns a real-valued output to each input; sequence
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REWARD AND RECOGNITION ACKNOWLEDGEMENT I deeply express my sincere thanks to my Parents and the Almighty for giving me both financial and moral support and strength to complete this project work. I extend my sincere thanks to INSTITUTE of BUSINESS MANAGEMENT‚ JADAVPUR UNIVERSITY‚ KOLKATA for having given me an opportunity to undertake this project. I am privileged to offer my sincere thanks and deep sense of gratitude to Mr.UDAYAN GOSWAMI‚ Executive HRM‚ CESE‚ Taratala whose constructive
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2a. The computing innovation that is represented by my computational artifact is that of voice recognition. Voice recognition is commonly used to operate a device‚ perform commands‚ or write without having to use a keyboard‚ mouse or press any buttons. The user is able to talk to a computer with automatic speech recognition (ASR) programs and tell it what to do.(5) The computing innovation was created with the intention of being user-friendly and helping people with a variety of disabilities. My
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Prescription‚ McGraw-Hill Book Co.‚ New York‚ NY. Brudney‚ J.‚ Condrey‚ S. (1993). Pay for performance: explaining the differences in managerial motivation Cacioppe‚ R. (1999). Using team – individual reward and recognition strategies to drive Coli‚ M. (1997)‚ Strategic team reward and recognition strategies at Motorola‚ The Best of Team Conference Proceedings‚ Linkage Inc.‚ San Francisco‚ 519-605. Eade‚ D. (1996). Motivational management: Developing leadership skills. Clinician Reviews‚ 6‚ 115-125
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