翻译成英语+_+不要机器翻译

2024-12-01 09:58:28

推荐回答（3个）

回答1：

The present car license recognition system mostly is aims at the simple scene, the sole vehicles. But in many application situations, the monitor area is quite complex, the existing method is unable to apply directly, for instance highway's surveillance and the monitoring, the urban important highway's surveillance and the monitoring, monitor the region will present generally simultaneously many automobiles, the background is also quite complex, has the billboard, the trees, the building, the zebra crossing as well as each kind of background writing and so on. If can in a deep research image many car license recognition questions, regarding reduces the system cost, raises the working efficiency to have the very vital significance. Therefore carries on the further improvement consummation to the car license recognition is very necessary technically.

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回答2：

Most of the current license plate recognition systems are designed for only simple circumstances or some single vehicle. But in most cases,the monitoring areas are so complex that the existing systems can not help directly, such as surveillance and monitoring for highway and the urban arteries .In these areas ,there are many more cars and the backgrounds are also comparatively more complex,including billboards, trees, buildings, zebras and a variety of texts,etc.
If making a deep study of all the licence plates' recognition within one image,we can lower system cost and improve work efficiency .Therefore, it's significant to improve licence plates' recognition techncally.

(*^__^*) 嘻嘻…燃握…，自己译的，皮昌庆仅供您参考！！！谢谢迅好！

回答3：

The current vehicle plate recognition system is mostly of simple scene, a single vehicle. But in many applications, the surveillance area is more complex, the existing methods cannot be applied directly, for instance expressway monitoring and control, urban thoroughfares monitoring and control, the monitored area general also can appear many cars, background and more complicated, billboards, trees and buildings, zebra crossing and various background characters, etc. If can thoroughly study an image in the license plate recognition problem more than, for reducing the system cost, improve work efficiency has a very important significance. Therefore technically to license plate identification for further improved is very necessary.

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