and Business Informatics - !!! DRAFT !!! Master Thesis Secure Face Recognition and User Access !!! DRAFT !!! Scientific Coordinator Prof. Ion IVAN‚ Ph.D. Graduate Valentin-Petruţ SUCIU - Bucharest 2011 - Contents Introduction 1. Machine Based Facial Detection and Recognition 1.1 Computer Vision 1.2 Object Detection 1.3 Image Quality 1.4 Facial Recognition Approaches 2. Proposed Solution 2.1 Data Preparation 2.2 Recognition Logic and Algorithms 2.3 Database Structure 2.4 Front End Applications
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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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We are gathered here today to recognize those who have excelled academically in the past school year. I am honored to have been asked to take part in this very special event. We no doubt have three groups in attendance here today - those who excelled and will receive awards‚ those who worked hard and came up short of an award and. sadly. those who did not try at all. While we are pleased to take part in recognizing academic achievements‚ we encourage every one to find where your interests and abilities
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Voice Recognition Software: Comparison and Recommendations Use of voice recognition software is under consideration by medical office administrators nationally. Administrators have long searched for alternatives to the expense‚ error rate‚ and record-completion delays associated with conventional transcription. It is no wonder that‚ with the recent advances in voice recognition software‚ medical transciptionists are looking at this emerging technology as a powerful way of accomplishing essential
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2.7 Various Methods for Face Recognition: There are various types of face detection algorithms have been developed. Most of the face detection methods take pixel values as features. But they are highly delicate to lighting variations and noises. Face recognition is the task of identifying an already detected face as a known or unknown face. 2.7.1 PCA: In this method convert the image training set to image vector. Image vector is used for finding eigen feature weight matrix. Eigen feature can
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employee’s level of motivation. Those factors include monetary rewards‚ employee involvement‚ training & development‚ employee recognition programs‚ etc. This paper will discuss review motivational theories developed based on the concept of “needs” and other motivational philosophies‚ as well as discuss the correlation between the motivational theories and employee recognition. Introduction The term “motivation”‚ which is defined using various terminologies‚ is often used to describe different types
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Optical Character Recognition for Cursive Handwriting Nafiz Arica‚ Student Member‚ IEEE‚ and Fatos T. Yarman-Vural‚ Senior Member‚ IEEE AbstractÐIn this paper‚ a new analytic scheme‚ which uses a sequence of segmentation and recognition algorithms‚ is proposed for offline cursive handwriting recognition problem. First‚ some global parameters‚ such as slant angle‚ baselines‚ and stroke width and height are estimated. Second‚ a segmentation method finds character segmentation paths by combining gray
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Employee Recognition and Performance: A Field Experiment∗ Christiane Bradler† Robert Dur‡ Susanne Neckermann§ Arjan Non¶ ‚ ‚ ‚ January 2013 Abstract This paper reports the results from a natural field experiment designed to investigate the causal effect of public recognition on employee performance. More than 300 employees worked on a three-hour data-entry task‚ where we randomized the unannounced provision of recognition after two hours of work. We find that recognition increases subsequent performance
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speech signal and increase the sensitivity to the brain lesion. The listener’s performance will be significantly worse on a filtered Speech recognition task than on an unfiltered speech recognition task because the CANS would be incapable of compensating for the missing information with a breakdown of redundancy of the CANS (lesion). The filtered speech recognition task is able to separate patients with an abnormal CANS from normal functioning CANS. Filtered of speech at various frequencies adversely
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If you notice warning signs at your company that clearly say‚ "Somebody’s going to be leaving here on short notice‚" don’t wait until you’re handed a pink slip to start thinking about your next career move. Here are nine tips that can help make a layoff less traumatic‚ and put you on track to quickly land a new job. Assess Your Next Move It can be unnerving to show up for work every day knowing that a layoff is looming. Help relieve some of that tension by taking stock of your professional situation
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