The work involves development of a Nigerian license plate recognition that tackles the issue of partial occlusion and other background complexities. INSTRUCTIONS 1. The software must be done on a Windows OS. C++, Python programming language is preferred. The developer might use any algorithm/technique of his choice for the Pre-processing Phase, Localization Phase and Segmentation Phase but the use of Convolution Neural Network is Preferred for this task. Edit the images to form an artificial covering for partial occlusion recignition 5.

License plate recognition ANPR full source code and tutorial free for download. License plate recognition use OpenCV Sourcecode: D. API, SDK, application programming interface, software development kit, license plate recognition software, license plate recognition SDK, license plate recognition toolkit, license plate recognition source code, recognise letters, read plate text, software development kit, LPR software library, ANPR software library, software developers kit.

The software must show: * Dialog to load Vehicle images * Each phases of the image recognition, * Recognized character with% of other predicted license characters, * Recognition time, * Evaluations (i.e error rate and accuracy). * A minor Report explaining the algorithm used in each phases.

Data set of about 500 vehicles are available for Testing and training. Thanks Skills:,,,, See more:,,,,,,,,,,,,,,,,,.

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