Object detection or recognition on number plates using python
Abstract
Object detection is, as you know, an important task in the field of computer vision object or detection of an object and recognition, the processing of an image is an important research field for past couple of years. It intends to accurately identify and detect the position of objects of pre-defined categories on particular image. One of the use cases of object detection is a Real-Time ANPR (Automatic Number Plate Recognition), when we consider the importance of object detection and recognition in visual surveillance. In this paper, we provide object detection frameworks using TensorFlow Object Detection API which will detect and recognize the object and after the recognization, it will store the recognized object in the CSV files for the future reference for computation. It will recognized number plates and then the plates will be stored in CSV files on user's system, also removes the blurring of an image to recognize the number plate fully.
Related Papers
- → Hand-eye calibration using a single image and robotic picking up using images lacking in contrast(2020)7 cited
- → An Object Detection and Pose Estimation Approach for Position Based Visual Servoing(2017)5 cited
- → Tracking in 3D: Image Variability Decomposition for Recovering Object Pose and Illumination(1999)15 cited
- → Foreground object segmentation from binocular stereo video(2005)2 cited
- → 6-DOF object localization by combining monocular vision and robot arm kinematics(2017)1 cited