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从照片中提取车牌号,只需更换目录下的car3.jpg 或者按照提示输入想要提取照片的文件名就可以-Extracted from the photographs the license plate number, just replace the directory car3.jpg or extracted follow the prompts and enter your desired photo file name will be
Update : 2025-02-17 Size : 19kb Publisher :

可以很好的实现车牌的定位(粗细定位)两步实现。-Can realize a good positioning plate (thickness positioning) two-step to achieve.
Update : 2025-02-17 Size : 107kb Publisher : wls

检测车牌位置,并对车牌进行边缘检测,还能显示系统计算所用时间。-License plate location detection and license plate for edge detection, can also display system used in the calculation time.
Update : 2025-02-17 Size : 1kb Publisher : 真好!

用matlab编写的车牌识别的源程序,可以准确定位到车牌-Prepared using matlab source license plate recognition, can accurately locate the license plate
Update : 2025-02-17 Size : 155kb Publisher : 明明

实现车牌自动定位的MATLAB程序:对图像进行预处理,垂直边缘检测,形态学运算,提取出车牌。-Implementation of Automatic Vehicle Location MATLAB procedures: pre-processing of images, vertical edge detection, morphological operations to extract license plate.
Update : 2025-02-17 Size : 13kb Publisher : juanjuan

Automatic Vehicle Identification (AVI) has many applications in traffic systems (highway electronic toll collection, red light violation enforcement, border and customs checkpoints, etc.). License Plate Recognition is an effective form of AVI systems. In this study, a smart and simple algorithm is presented for vehicle’s license plate recognition system. The proposed algorithm consists of three major parts: Extraction of plate region, segmentation of characters and recognition of plate characters. For extracting the plate region, edge detection algorithms and smearing algorithms are used. In segmentation part, smearing algorithms, filtering and some morphological algorithms are used. And finally statistical based template matching is used for recognition of plate characters. The performance of the proposed algorithm has been tested on real images. Based on the experimental results, we noted that our algorithm shows superior performance in car license plate recognition
Update : 2025-02-17 Size : 308kb Publisher : Serhat
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