神经网络被广泛地应用于字符识别。
Neural network has been publicly used for character recognition.
不过没有进行光学字符识别 ——您得到的是位图。
There's no optical character recognition though -- what you get is a bitmap.
而如果文件是打印的，你可以对文件进行光学字符识别。
And if the documents is typed, you can just apply OCR to the document.
模板匹配算法是字符识别中最常用的一种算法。
Templet matching arithmetic is the most ordernary arithmetic for character recognition.
在光学字符识别中，字符间水平间距不够的现象。
In optical character recognition, the insufficient horizontal spacing between characters.
机器字符识别是计算机智能化人机接口的关键技术。
Optical character recognition is the principal technology of computer intelligence man-machine interface.
提出了一种基于混合轮廓特征的压印字符识别新方法。
We proposed a novel recognition method for the pressed characters based on the mixed outline features.
车牌定位；字符分割；特征提取；字符识别；神经网络。
License plate location; Character segmentation; Feature extraction; Character recognition; Neural network.
要提高脱机手写字符识别的识别率，关键是特征的提取。
Extraction of features is critical to improve the recognition rate of off-line handwritten characters.
在车牌字符识别中引入了误识模型和多分类器集成技术。
The techniques of mis-recognition model and multiple classifier combination are proposed and used in the system.
在字符识别中，用以构成图形字符中某一小段的直线或弧。
In character recognition, a straight line or arc used as a segment of a graphic character.
从上世纪70年代以来，光学字符识别技术逐渐走向成熟。
Since last century 70's, the OCR technology has gradually moved to maturely.
字符识别技术是用机器视觉进行模式识别的重要研究方向之一。
Character recognition technique is one of the most important research directions of identifying model by machine vision.
所有的邮件在邮件处理室中打开，利用光学字符识别扫描进计算机。
All mail can be opened in the mail room and scanned into the computer using optical character recognition.
本文提出了一种基于主元分析法（PCA）的多模板字符识别算法。
This paper presented a new multi-template character recognition method based on principal component analysis(PCA).
磁墨字符识别：分辨用磁墨印刷的字符并把它转为数字资料的装置。
Magnetic ink character recognition (MICR) : Devices which can identify characters printed in magnetic ink and convert them into digital data.
磁墨字符识别：分辨用磁墨印刷的字符并把它转为数字资料的装置。
Devices which can identify characters printed in magnetic ink and convert them into digital data.
软件组成系统主要包括运动检测算法、车牌定位算法和字符识别算法。
The software system includes algorithms for movement detection, vehicle card orientation and character recognition.
HTK主要用于语音识别研究，也用于语音合成、字符识别和DNA排列等研究。
Primarily used for speech recognition research, HTK is also used for research in speech synthesis, character recognition, and DNA sequencing.
提出一种应用于手写字符识别的基于梯度归一化模糊梯度特征提取方法。
A fuzzy gradient feature extraction method based on gradient normalization applied in handwritten character recognition is proposed.
本论文的研究内容包括汽车牌照的定位、字符分割和字符识别三个部分。
The whole process of the system can be divided into three stages: locate license plate, character segmentation and character recognition.
汽车牌照识别系统包括车牌图像的采集、预处理、字符的提取和字符识别。
License plate recognition System includes the license plate images acquisition, preprocessing, character recognition and extraction of characters.
本文对车牌识别系统的车牌定位、字符分割和字符识别进行了系统的研究。
This paper has studied a lot of method and theory about vehicle plate location, character divide and character recognition systemically.
综合这些算法并结合字符识别核心，实现了一个完整的车牌照自动识别系统。
Using these algorithms and a character recognition kernel, an automatic vehicle license recognition system was finished.
目前，模式识别技术可以应用指纹识别、IC卡技术应用、字符识别等实例。
At present, the pattern recognition technology can be applied to fingerprint identification, IC card technology applications, such as examples of character recognition.
本论文的研究重点主要包括文字区域的定位、字符的分割和字符识别三个部分。
The research emphases of this paper include three parts: the orientation of character region, character segmentation and character recognition.
邮政光学字符识别（OCR）、视频补码、码址校验等分拣技术处于世界领先水平。
Sorting technologies in postal services, including optical character recognition (OCR), video complement and address check via bar code have reached the world's top level.
本文用到的方法对于在合理的模型假设下解决手写字符识别问题呈现了很大的潜力。
The proposed approach in this paper offers a great potential for solving difficult handwriting character recognition problems under reasonable assumptions.
本文用到的方法对于在合理的模型假设下解决手写字符识别问题呈现了很大的潜力。
The proposed approach in this paper offers a great potential for solving difficult handwriting character recognition problems under reasonable assumptions.
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