Based on digital image processing techniques, the goal of this work is develop a method to automatically detect license plates. To achieve this goal, this thesis estimates the change of gray value on pixels to first find the position of the license plate. A number of image processing techniques are then developed to identify each character on the license plate. Finally, experimental results are given to demonstrate the effectiveness of the proposed approach, which is the followed by a simple conclusion.

In this thesis, we develop a method to automatically detect and recognize the vehicle license plates. By using a large number of images to study statistically several important features of the license plates, this work has developed several methods to systematically detect and recognize the license plates. In particular, these methods are used to detect edges, to locate regions with densely distributed edges, to detect region with grey color and to identify character shapes. This work restricts its study on outdoor environment. Many environmental uncertainties such as lighting and background complexity should also be considered. By taking these factors into consideration, our algorithm can first detect the license plates. Next, our system uses a two-stage approach to recognize the characters on the plates. Most of the characters can be correctly recognized in the first stages by using conventional template-based method. However, a moment-feature based method is applied to two pairs of characters which can not be accurately classified by the template-based method. Experimental results are given to demonstrate the effectiveness of the proposed approach. In order to improve the proposed approach in the future, this work also studies a relatively small portion of plates that can not be perfectly handled by the proposed approach.

The operation of a complete license plate recognition system includes three parts: license plate localization, character segmentation, and character identification. Among these three parts, license plate localization is relatively more difficult and complicated. Until now, differentiating background and real license plate images in real and random traffic conditions remains to be a very difficult task. Via a VQ coding technique, this study introduces a method resolve this problem. As a preprocessing step, this method first converts an image to be classified into binary form by using statistics generated from a license plate image database. The next step of the proposed approach is to use a VQ method to represent the image by a series of codewords. By computing the probability of these codewords used by the license plate and background images, these codewords are renumbered. By using neural networks to classify such images, our experimental results show that the proposed approach can differentiate background and real license plate images with a very high successful rate.

Thesis (M.S.) -- Central Connecticut State University, 2008. / Title from electronic title page of document. Special project advisor: Farid Farahmand. "A special project submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Information Technology, Department of Computer Science, Management Information Systems, and Industrial Technology." Includes bibliographical references.

Thesis (doctoral)--Universität Erlangen, 1929. / Includes bibliographical references (p. v-vi).

Thesis (Ph.D.)--York University, 2006. Graduate Programme in Business Administration. / Typescript. Includes bibliographical references (leaves 122-131). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR29498

Thesis (Ph. D.)--University of Texas at Austin, 2005. / Supervisor: Stephen M. Gilbert. Vita. Includes bibliographical references.

In 2010, there were 6,714,288 total registered drivers in New Jersey. Approximately 4% (267,485) of these drivers had a suspended driver's license. The intent of suspending a driver's license is to keep hazardous drivers off of the roads, in hopes of having a safer driving environment for others on the road. Drivers in New Jersey can have their driver's license suspended for a number of reasons. These include dangerous driving behaviors such as reckless driving and driving under the influence of alcohol or drugs. However, there are also reasons for suspension that have little or nothing to do with driver behavior, such as failure to pay child support, failure to pay MVC insurance surcharge, or failure to appear in court. While these offenses are all due of consequence, they have little or nothing to do with driver behavior. This research program will conduct an analysis of the issues and implications of implementing a restricted-use license program for suspended New Jersey drivers, detailing key issues associated with restricted-use license programs. It was found that over two-thirds of suspended drivers in New Jersey receive driver's license suspensions for both driving and non-driving-related offenses, whereas only about four-percent of suspended drivers in New Jersey receive a driver's license suspension for driving-related reasons only. It was also found that drivers suspended for non-driving related reasons have different driver behavior than drivers suspended for driving related reasons. Surveying both New Jersey police chiefs, as well as U.S. state motor vehicle agencies, it was found that there is a generally positive perception of restricted driver's license programs. Overall, it is recommended that the New Jersey Motor Vehicle Commission implement a restricted driver's license program in New Jersey. / Master of Science

Article Excerpt: An intelligent student chooses to major in accounting. She persists through fraduation with a couble major in accounting and math and meets the 150-hour minimum education requirements…..

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