Hiding in a certain time, miss some period of time palmprint.
躲在某一时间，想念某一段时光的掌纹。
Fate as palmprint, although twists, but always in his own hands.
命运就像掌纹，虽然曲曲折折，却始终掌握在自己的手中。
Wang: Palmprint are changed, and this is my first scientific discovery.
王：掌纹是变的，这就是我的第一个科学发现。
A palmprint is a relative new biometric feature for personal authentication.
作为一种较新的生物特征，掌纹可用来进行人的身份识别。
Palmprint recognition is a very important topic in the biometric technology.
掌纹识别是生物识别领域的一个重要分支。
Most methods of locating the ROI of palmprint now are based on edge detecting.
现在的掌纹roi定位方法都是以边缘提取为基础的。
A new palmprint recognition method based on visual characteristics is proposed.
提出了一种新的基于视觉特征的掌纹图像识别方法。
In this paper an application of biometrics on palmprint diagnosis was introduced.
介绍了生物特征技术在医疗诊断领域的一种应用。
I can no longer outdo the time palmprint, Fanshou for clouds, rain hand to review.
我敌不过时间的掌纹，翻手为云，覆手为雨。
The gaudy years carved the tree rings, abreaction time delineate entwine palmprint.
浮华的岁月雕刻了枯树的年轮，消散的时光勾画出纠缠的掌纹。
Looking down Simba sees that his forepaw fits inside just the palmprint of his father's paw.
辛巴向下看的时候发现它的整只前脚才只有他父亲的脚掌心那么大。
Automated palmprint recognition is an important part of biometric based personal identification.
掌纹自动识别是对基于生物统计学的身份鉴别的重要补充。
The experimental results indicate the algorithm gets a good performance in palmprint recognition.
实验结果表明，本文的识别算法取得了较好的识别效果。
This paper first presents a new method of palmprint identification by using Local Binary Pattern (LBP).
首次提出将局部二进制模式(LBP)应用到掌纹识别中。
The feature extraction of palmprint is a necessary important step in automatic palmprint recognition system.
掌纹特征的提取在掌纹自动识别系统中是一个必不可少的重要环节。
Palmprint identification can identify individual's status based on the valid information in his or her palm.
掌纹识别技术是根据人手掌内的有效信息来对个人身份进行识别。
The experimental results on two palmprint image databases demonstrate the effectiveness of the proposed method.
最后通过实验在两个公开的掌纹数据库证明了这种算法的有效性。
The algorithm has been proven to be very effective in research, even if the palmprint images were low resolution.
实验表明，这种方法能够取得很好的识别效果，即使对于低分辨率下的图像也有较高的识别率。
This paper presents a new approach to line structure features representation and matching for palmprint recognition.
该文提出一种新的用于掌纹识别的纹线结构特征描述和匹配方法。
These two techniques are effectively combined in the paper, and a new palmprint feature extraction approach is proposed.
本文将这两种技术有机地结合起来，提出了一种新的掌纹特征提取方法。
Then the left hand slightly above 30 centimeters eyes front, each from start to finish see palmprint, approximately 5 seconds.
接着把左手掌略高于眼睛前方30厘米处，逐一从头到尾看清掌纹，大约5秒。
The palmprint recognition is a new biometrics technology, which use palm texture as biologic characters to recognize identity.
掌纹识别技术利用人的掌部纹理作为生物特征进行身份的自动确认，是生物特征识别领域的又一新兴技术。
Up to now, many traits in human body have been applied, such as fingerprint, palmprint, iris, face, hand shape and signature, etc.
截至目前，已经用于身份识别的人体生物特征包括指纹、掌纹、虹膜、人脸、手形、签名等。
As the one of the most important biometric recognition, the development of Palmprint recognition has meaningful value of practice.
作为最重要的生物特征识别技术之一，掌纹识别方法的开发具有重要的现实意义。
A method of capturing palmprint image without any limitation was proposed, and a palmprint database had been built using this method.
提出了一种无限制的获取掌纹图像的方法，并使用该方法构建了掌纹库。
In order to preserve the local structure of the image space, locality preserving projection (LPP) is applied to palmprint recognition.
为了保持掌纹空间的局部结构，运用局部保持投影(LPP)方法进行掌纹识别。
As one of the most important biometrics techniques, the development of palmprint recognition has a significant influence on real world.
作为最重要的生物特征识别技术之一，掌纹识别方法的开发具有重要的现实意义。
Therefore, the dual eigenspace method for automatic palmprint recognition was proposed using the subspace method of pattern recognition.
在此基础上结合子空间法模式识别理论 ，提出了双子空间掌纹自动识别方法。
Biometric recognition research in our group mainly includes latent fingerprint matching, cross matching and contactless palmprint matching.
生物特征识别目前主要研究现场指纹、交叉库指纹的匹配问题以及无接触掌纹的识别问题。
Ridge orientations and ridge spatial frequencies in various regions of the palm represent the intrinsic characteristics of a palmprint image.
掌纹中不同区域的纹线方向和空间频率代表着掌纹图像内在的特征。
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