Evaluating the use of OCR on a Mobile Device Presented by : Hamed Alharbi Supervisor by :Dr Brett Wilkinson
Outline Introduction Background Methodology Project Goals Timeline Conclusion
Introduction This project will look at OCR with mobile devices for the purpose license plate recognition. What is OCR ? Optical Character Recognition Why mobile application
Background History of OCR [1] Types of OCR OCR – OWR – ICR – IWR [1] Techniques [2] Pre-processing Character recognition Post-processing Accuracy [2] 1.Schantz, Herbert F. (1982). The history of OCR, optical character recognition. [Manchester Center, Vt.]: Recognition Technologies Users Association. ISBN Holley, Rose (2009). How Good Can It Get? Analyzing and Improving OCR Accuracy in Large Scale Historic Newspaper Digitization Programs.How Good Can It Get? Analyzing and Improving OCR Accuracy in Large Scale Historic Newspaper Digitization Programs.
Implementation of OCR The ability to recognize characters and text from images has been investigated for a number of years Implementation issues Why to use Tesseract library for OCR? [3] Expected difficulties lighting, font type, reflective surfaces, and motion. Refernc 3.
Project Goals Identify challenges to implement the application Implementation of OCR for mobile device Determine the usability of a live system Identify benefits of the application Explore possible use of local database to get license information Extensibility of the system through the use of remote data stores
Timeline MarchApril MayJuneJulyAugustSeptemberOctoberNovember Proposal seminar Literature review Technical investigation Implementation Evaluation Result seminar Writing final report
Conclusion This project will implement OCR on mobile devices to recognize vehicle license plate characters Future Work Connecting the application to a remote database or web service to get license information
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