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SimpleLPR: A Software Component for Vehicle License Plate Recognition




Vehicle license plate recognition (LPR) is a technology that can automatically identify and read the license plate number of a vehicle from an image or a video. LPR can be used for various applications, such as traffic management, parking control, toll collection, security, and law enforcement. However, developing an LPR system can be challenging, as it requires dealing with various factors, such as different plate formats, fonts, colors, lighting conditions, occlusions, and distortions.


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Fortunately, there is a software component that can simplify the task of LPR: SimpleLPR. SimpleLPR is a software component for vehicle license plate recognition that has a very simple programming interface that allows applications to supply a path to an image or a buffer in memory and returns the detected license plate text and its location in the input image. It can be used from C++, .NET-enabled programming languages, or Python. Typical detection rates range between 85% and 95%, provided the license plates are in good condition, free of obstructions, and the text height is at least 20 pixels.


Features of SimpleLPR




SimpleLPR has the following features:



  • It supports more than 30 countries, including USA, Canada, UK, Germany, France, Spain, Italy, China, Japan, India, and more. You can see the full list of supported countries and their limitations [here].



  • It can detect multiple license plates in an image and return their text and location.



  • It can handle various plate formats, such as horizontal, vertical, square, rectangular, etc.



  • It can handle various plate colors, such as white, yellow, black, blue, green, etc.



  • It can handle various font styles and sizes.



  • It can handle various lighting conditions, such as day, night, sunny, cloudy, etc.



  • It can handle various occlusions and distortions, such as dirt, scratches, reflections, angles, etc.



  • It can perform plate region detection and crop to plate region features.



  • It can run on CPU or GPU (CUDA) for faster performance.



  • It has a flexible licensing model that allows you to use it for commercial or non-commercial purposes.




How to Use SimpleLPR




To use SimpleLPR, you need to follow these steps:



  • Download and install SimpleLPR from [PyPI] for Python or [NuGet] for .NET.



  • Create an instance of the SimpleLPR engine with the appropriate setup parameters.



  • Configure the country weights based on the selected country or countries.



  • Set the product key if you have purchased a license.



  • Create a processor object and enable the desired features.



  • Analyze an image from a file or a buffer and get the list of candidates.



  • Show or process the results as you wish.




You can find detailed examples of how to use SimpleLPR in different programming languages in the [user's guide] and the [class reference].


Conclusion




SimpleLPR is a software component for vehicle license plate recognition that has a very simple programming interface and supports more than 30 countries. It can handle various plate formats, colors, fonts, lighting conditions, occlusions, and distortions. It can run on CPU or GPU for faster performance. It has a flexible licensing model that allows you to use it for commercial or non-commercial purposes. If you are looking for a simple and effective way to implement LPR in your applications, you should give SimpleLPR a try.


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