其主要实例为车牌识别和车型识别方面。
The main examples are in License Plate Recognition and Vehicle Type Recognition facts.
并将其应用到车型识别中，结果显示该方法的有效性。
The results in vehicle type recognition shows validity of this method.
本文基于运动车辆产生的声频信号来进行车型识别的研究。
Based on the acoustic signal generated by moving vehicles, this article spread a research on vehicle recognition.
提出了一种应用于视频车型识别系统中的图像预处理方法。
A approach is presented to image's preprocessing which can be used for the video system of the automotive style recognition.
实验结果表明，本文提出的车型识别方法是简便、快捷、有效的。
Experimental results show that the proposed vehicle identification method is simple, fast and effective.
车辆检测与车型识别是智能交通系统（ITS）中的重要组成部分。
Robust and reliable vehicle detection and vehicle classification are important issues with applications to Intelligent Transportation Systems (ITS).
研究提出了一种应用于车型识别系统中的基于序列图像的图像处理方法。
This paper is researching on vehicle type recognition based on sequence images in the vehicle type automatic recognition system.
介绍了多品种混流机器人喷漆自动线的汽车车型识别系统的一种识别方法。
This paper introduces a recognition method on different models of vehicle on a multi-model mixed robot painting line.
实验结果表明，该算法定位准确，速度快，满足车型识别系统的实时性要求。
The results of experiment show our localization method is fast and exact, which can be used in the real time Vehicle Recognition System field.
为了快速准确地进行车型识别，提出了一种基于SUSAN角点检测的识别方法。
To recognise the vehicles accurately and speedy, this paper presents a method based on SUSAN corner detection.
在对车型识别去噪和边缘检测进行分析的基础上，提出了一种基于反对称小波的检测方法。
On the basis of the analysis of denoising and edge detection of vehicle recognition, this paper proposes an effective detection method based on anti-symmetrical wavelet.
针对现有车型识别存在的问题，提出利用经验模态分解和支持向量机的车型声频识别方法。
For the problem of automatic vehicle recognition, a recognition method is proposed based on EMD and support vector machine.
车型识别是智能化交通的重要组成部分，它广泛应用于收费系统、交通数据统计等相关工作中。
Vehicle classification is an important part of intelligent transport system. It is used in toll, transportation statistics and so on far and wide.
同时对所采集的车辆声音信号应用模式识别中的主分量分析法实现了车辆的简单分类，为实现车型识别作了一些初步的探索。
At the same time, vehicle types are classified using PCA method of the pattern recognition based on vehicle noise, and some primarily study is done for vehicle recognition.
提高了汽车车型自动识别和分类的速度和正确率。
The study can improve automatic vehicle recognition, classifying speed and preciseness.
由以89C51单片机为核心控制器的读写控制装置，实施指令操作，采取射频自动识别车号、车型，远距离电子标签卡收费。
The reader controlled by the single chip of 89C51 is able to identify automatically the number and style of the vehicles and charge with the long-distance electric tags by programmed operating orders.
这篇文章介绍了自动车辆识别系统和自动车型分类系统两项关键技术及其实现技术。
In this paper, automatic vehicle identification system, automatic vehicle identification system and their implementation are described.
提出了一种基于KL变换的汽车车型的识别方法。
This paper presents a kind of vehicle recognition method based on KL transform.
然后把分解后的图像作为多层前馈神经网络的输入节点，对自动喷漆线上的汽车车型进行识别。
The decomposed images are then used as the nodes on input-layer of multi-layer feed-forward network, which recognize the vehicle model on painting line.
实践表明，该网络经过监督学习后，能屏除车辆中一定量干扰象素影响，准确地识别出各种外形车的车型。
The practice in the vehicle recognition using this model proofs that through supervised training, this model can correctly recognize the vehicle in spite of some interferential pixels.
结果表明该方法有效提高了智能车型的识别率，同时具有很好的可扩展性。
The results of study manifest that it improves the level of recognition and meanwhile has a well expandable capability.
该数据库将会收集指纹、虹膜识别、甚至连走路姿势，他们的车及车型、耳朵的形状等这样的细节也要输入。
Fingerprints, iris scans and even details of the way people walk, their scars and the size and shape of their ear lobes will be collected.
采用计算机字符识别技术，把复杂的视频检测方法车型图像识别问题大大简化为简单的字符识别。
The utility model adopts computer character identification technology to simplify the vehicle-model graphic identification of the complex video testing method into simple character identification.
采用计算机字符识别技术，把复杂的视频检测方法车型图像识别问题大大简化为简单的字符识别。
The utility model adopts computer character identification technology to simplify the vehicle-model graphic identification of the complex video testing method into simple character identification.
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