本文提出了一种应用多重识别技术的智能安全门禁系统方案的设计。
This paper put forward a kind of design project that using Micro control implement the Intelligent Safeguard System.
本文综述了具有两个疏水结合部位和多重识别功能的桥联环糊精仿酶研究进展。
This paper reviews the advances in modeling enzymes by using bridged cyclodextrins which have two binding sites and multiple recognition abilities.
通过比较主-客体包合物生成常数的大小可以推断2与有机阴离子客体之间存在多重识别作用。
Comparison of the formation constants of inclusion compounds revealed that there is a multiple recognition mechanism in existence between the host molecule (2) and the organic anion guest.
利用多重变换，提出了一种雷达目标识别方法。
A recognition method of radar target was presented by using multi transform.
讨论雷达目标的识别问题，提出了一种多重变换方法。
The problem of radar target recognition is discussed and a multiple transform method is proposed.
文章提出了一种基于多重隐马尔可夫模型和区域投影变换的手写体汉字识别新方法。
A new approach for handwritten Chinese character recognition based on multiple hidden Markov model classifiers and sub-region projection transform is proposed in the thesis.
提出一个基于多重曲率计算的角点检测算法，对联机手写汉字识别中的笔划拐点进行提取。
An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR (on-line handwritten Chinese character recognition).
为提高光学相关图像识别的准确度和抗畸变能力，引入多重复合匹配滤波器概念，探讨一种新的识别思路。
A concept of multi-complex matched filter is introduced to improve the recognition of optical correlation image and the resistance of distortion, and a new way for the recognition is discussed.
因此，识别跨多重条件的差异结合位点是生物学和医学研究中实际上非常重要的。
Hence, identifying differential binding sites across multiple conditions is of practical importance in biological and medical research.
基于数字图像处理技术和分形理论，应用多重分形频谱理论对木材内部缺陷进行识别，并设定了适用于木材图像检测的分形频谱值范围；
Based on digital image processing and fractal, multifractal spectrum was applied to wood inner defects recognition, the range of multifractal spectrum was set for wood image detection.
模型修正后，本文基于神经网络的多重分步识别方法，对斜支撑进行位置及截面刚度的识别。
After updating the model, this paper carried out the experiment of identifying the position and section stiffness of steel support based on the neural network multi-step identification method.
许多重要的识别技术假设人脸的脸部特征已被精确定位，因此人脸及其特征的精确定位是人脸处理系统的关键步骤。
Since most recognition techniques suppose the positions of facial features are located accurately, the fine location of facial features is crucial steps in most face processing system.
许多重要的识别技术假设人脸的脸部特征已被精确定位，因此人脸及其特征的精确定位是人脸处理系统的关键步骤。
Since most recognition techniques suppose the positions of facial features are located accurately, the fine location of facial features is crucial steps in most face processing system.
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