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- The humanoid Chinese character recognition system. 4) 仿人汉字识别系统。
- Design and Realization of Vehicle License Plate Recognition System. 车牌识别系统的设计与实现。
- License Plate Recognition System Designated Parking Corp. 车牌辨识系统。
- A fast speech recognition system for small vocabulary is presented. 摘要介绍了一种小词汇量的语音识别方法。
- This paper designed a iris recognition system for human identification. 本文设计了一种用于身份鉴别的虹膜识别系统。
- Handwritten Numeral Recognition System is used to obtain numeral information. 手写体数字识别系统用于数据信息的采集。
- Our pattern recognition system is set into motion every time our senses perceive something. 每次当我们的感官有所察觉时,我们的模式识别系统也将有所行动。
- An on line Chinese character recognition system is built up based on the aforementioned principle. 基于上述方法,作者实现了一个联机手写汉字识别系统。
- A speech recognition system must expend significant processing to turn your speech into text. 语音识别系统必须付出大量的处理把您的语音转为文本。
- In this paper, attribute recognition system is applied to the assessment of development of regional economy. 本文将属性模式识别系统应用于区域经济发展优先级别的评价中。
- Won the tender to install container number recognition system at Asia Container Terminal Ltd. Consisting of 11 lanes. 成功赢得亚洲货柜码头有限公司集装箱号码辨识系统工程合约共11条通道。
- Accurately registering iris images leads tohigher recognition rate for an iris recognition system. 对整个虹膜识别系统而言,虹膜图像的配准是其中一个非常。
- The recognition system accurately identified the individuals about half of the time . 识别系统在半个机器周期内精确地鉴定出了每个人。
- The license plate recognition system has promising future in the control and management of the traffic. 汽车牌照识别系统在现代交通监控和管理中有着广阔的应用前景。
- A quick edge method and its real-time implementation in a road recognition system are presented. 本文提出了一种道路识别系统中基于边缘的快速算法,并给出了其实时实现的方法。
- The structure of fuzzy pattern recognition system,its design and implementation are emphasized with an example. 结合实例,重点讨论了模糊模式识别系统的组成、设计和实现方法。
- Human ocular apperceive is truly a robust character recognition system which can adapt to all kinds of noise. 人类视觉感知毫无疑问是一个鲁棒性很强的、能抵御实际中可能遇到的各种变形和各种干扰噪声的文字识别系统。
- It mainly consists of sensor arrays and pattern recognition systems. 主要由传感器阵列和模式识别系统组成。
- AHMED M J,SARFRAZ M,ZIDOURI A,et al.License plate recognition system[J].IEEE,2003. 郭大波;陈礼民等.;基于车牌底色是别的车牌定位方法[J]
- Experiments show that our Touchless Fingerprint Recognition System can reach recognition rate from 71.43% to 92.86%. 经由实验的结果,指纹辨识系统可以达到的辨识率从71.;43%25到92