g AUTOMATIC LICENSE PLATE RECOGNITION A PROJECT REPORT Submitted by K SIDDHARTH(11308106047) K SIVA TEJA(11308106056) D S KIRAN(11308106051) in partial fulfillment for the award of the degree of BACHELOR OF ENGINEERING In ELECTRONICS AND COMMUNICATION ENGINEERING RMK ENGINEERING COLLEGE ANNA UNIVERSITY: CHENNAI 600 025
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red light violations‚ unnecessary accidents etc. So the concept of Intelligent Traffic System was developed. In this system it was necessary to identify the vehicles that run on the road. So Automatic Number Plate Recognition (ANPR) System was developed. Automatic Number Plate Recognition (ANPR) System is essential in Intelligent Traffic Systems. ANPR Systems are made up of high-speed cameras designed to capture a photograph of each and every passing license plate‚ combined with software that analyses
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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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fingerprint in the system. If fingerprint ID is identified then LCD will show Attendance registered and in the same time buzzer will beep once as well as LED will turn off until the system is all set to take input again. 2.3. Iris-Recognition Based Attendance System Iris recognition technology
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Mathematical Handwriting Recognition with a Neural Network and Calculation Author: Tyler Sondag Date: 4/22/07 For Dr. Pokorny ’s CSI 490 Course Abstract The goal of this project was to create a software system that recognizes handwritten mathematical expressions and computes the answer. No special syntax or formatting was to be required for these expressions‚ since a major goal of this system was for users to be able to use the system without having to learn anything new. Support was desired for
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correct decision about the revenue for the period. The percentage of completion method refers to the income earned by the contractor determined on the basis of progress of the contract. Under this method‚ current assets may include costs and recognized income not yet billed with respect to certain contracts. This method is most commonly used in the construction industry‚ where very long-term construction projects would otherwise keep a company from revealing any revenues or expenses on its financial
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importance of cost‚ revenue and profit for a business organisation 1. Cost Profit is the different between the selling price and the production cost. Product cost include not only the cost of manufacturing a product but also all the other costs incurred in the process of producing or delivering a product or service. 2. Revenue The revenue of a business is‚ the income from its operations. It is important for the business to make the gap between costs and revenue as wide as possible
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Tutorial 1: Systems Documentation Techniques Question 1 1. Prepare flowcharting segments for each of the following operations: a) processing transactions stored on magnetic tape to update a master file stored on magnetic tape b) processing transactions stored on magnetic tape to update a database stored on a magnetic disk c) converting source documents to magnetic tape using a computer-based optical character reader (OCR) d) processing OCR documents online to update
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started using is facial recognition. The freedictionary.com website defines facial recognition as: "biometric identification by scanning a person ’s face and matching it against a library of known faces‚" (The Free Dictionary‚ 2012) "they used face recognition to spot known terrorists." This paper will help one understand what facial recognition is‚ who uses facial recognition‚ and when they use it. This paper will take a look into a couple of cases where facial recognition has been used. Also‚ it
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An Investigation into External and Internal Features for Facial Recognition Abstract An experiment was conducted to see if we recognise unfamiliar faces better either with just internal features or external features. Research conducted how our human vision system recognises faces and which features we tend to pay more attention to in the first instance. Two slideshows were shown to all participants under the same experimental conditions with 32 images of faces of women for five seconds each
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