Now, cars are everywhere, speeding on the highway, parked on the side of the street, parked in the community, parked in the garage. Managing and monitoring such a large number of cars is a headache. Smart people focus on the license plate, because the license plate is the "identity card" of the car. Therefore , license plate recognition has become the focus, and license plate detection is the basis and premise of license plate recognition. This article mainly discusses the use of openCV to achieve license plate detection .
openCV is an open source computer vision library that provides powerful image processing capabilities based on computer vision and machine learning. We can quickly integrate the openCV library to the android side. One of the ways is to directly install the openCV Manager and use it on demand: start the service to dynamically load it. In this way, the pre-configuration is simpler, but an additional APK needs to be installed. I prefer another way: import the dependent modules and dynamic/static libraries into the Project. Specific steps are as follows:
1. Import module
First download the sdk of openCVForAndroid from the official website, take version 3.2.0 as an example, find the path of the dependent library, and then import the module.