Brazilian License Plate Detection Using Histogram of Oriented Gradients and Sliding Windows

A novel scheme for binarization of vehicle images using hierarchical histogram equalization technique

Automatic License Plate Recognition system is a challenging area of research now-a-days and binarization is an integral and most important part of it. In case of a real life scenario, most of existing methods fail to properly binarize the image of a vehicle in a congested road, captured through a CCD camera. In the current work we have applied histogram equalization technique over the complete image and also over different hierarchy of image partitioning. A novel scheme is formulated for giving the membership value to each pixel for each hierarchy of histogram equalization. Then the image is b…

使用OCR进行车牌识别的图像预处理技术比较：性能与准确性评估

Comparison of Image Preprocessing Techniques for Vehicle License Plate Recognition Using OCR: Performance and Accuracy Evaluation

本文系统比较灰度转换、CLAHE和双边滤波等预处理技术在巴西车牌OCR识别中的效果，通过多项指标分析找出最优方法，为实际场景优化OCR性能提供指导。

Benchmark for License Plate Character Segmentation

Automatic License Plate Recognition (ALPR) has been the focus of many researches in the past years. In general, ALPR is divided into the following problems: detection of on-track vehicles, license plates detection, segmention of license plate characters and optical character recognition (OCR). Even though commercial solutions are available for controlled acquisition conditions, e.g., the entrance of a parking lot, ALPR is still an open problem when dealing with data acquired from uncontrolled environments, such as roads and highways when relying only on imaging sensors. Due to the multiple ori…