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   签名波形 的翻译结果: 查询用时:0.016秒
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签名波形
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  “签名波形”译为未确定词的双语例句
     After the preprocessing, the signature is decomposed by the way of Daubechies wavelet. Based on the wave of reconstruction wave of d_1+d_2+d_3, energy of sharp trajectory change point in the signature wave is extracted, Then, some points with most dominant energies are chosen for the next decision-making.
     签名数据在经过预处理之后,基于Daubechies小波的方法对签名波形进行分解,将d_1+d_2+d_3层的重构作为特征曲线,提取其在跳变点的签名能量,并从中抽取若干个具有较大签名能量的跳变点进行下一步的匹配。
短句来源
     The energy of sharp trajectory change point in the signature wave is extracted,by means of Daub echies wavelet decomposition of signature. Then,15 points with most dominant energies are chosen.
     基于D aubech ies小波的方法对签名波形进行分解,提取签名波形在跳变点的能量,抽取15个具有较大能量的跳变点.
短句来源
  相似匹配句对
     Signatures of Knowledge
     知识签名
短句来源
     replay of waveform data;
     波形回放;
短句来源
     Signature for XML
     XML的签名
短句来源
     high wave distortion;
     波形失真大;
短句来源
     A new waveform matching algorithm:V-P-V algorithm ──used for the Chinese signature verification
     一种波形匹配新算法:V-P-V算法─—用于中文签名真伪识别
短句来源
查询“签名波形”译词为用户自定义的双语例句

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  signature waveform
Robustness of the subspace method for blind signature waveform estimation with respect to channel order in asynchronous DS-CDMA
      
The robustness of the subspace method for blind signature waveform estimation with respect to channel order is analyzed in asynchronous DS-CDMA systems theoretically.
      
Theoretical analysis and simulation results show that the overestimating of the channel order will lead to the degradation of the quality of the estimated signature waveform.
      
In practice, it is showed that by incorporating the desired user's signature waveform and the auxiliary vector, the information of the user can be identified using the suboptimal subspace method.
      
The proposed blind adaptive multiuser detector utilizes the signature waveform and time information of the desired user.
      
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The paper proposes an online handwriting signature verification algorithm with signature energy as feature based on dynamic time warping(DTW).Online signature verification includes data acquisition,preprocessing,features extraction,and matching and decision-making process.The study of signature energy feature extraction method is emphasized.The energy of sharp trajectory change point in the signature wave is extracted,by means of Daub echies wavelet decomposition of signature.Then,15 points with most dominant...

The paper proposes an online handwriting signature verification algorithm with signature energy as feature based on dynamic time warping(DTW).Online signature verification includes data acquisition,preprocessing,features extraction,and matching and decision-making process.The study of signature energy feature extraction method is emphasized.The energy of sharp trajectory change point in the signature wave is extracted,by means of Daub echies wavelet decomposition of signature.Then,15 points with most dominant energies are chosen.Finally,after DTW matching,a new algorithm of classification is put forward.Experiment results show that false acceptance rate is 9 percent while false rejection rate is 0 percent for random forgery.

提出了一种基于DTW匹配的以签名能量为特征的在线手写签名验证算法.在线签名验证包括数据采集、预处理、特征提取、匹配判决等部分.侧重签名能量特征提取方法的研究.基于D aubech ies小波的方法对签名波形进行分解,提取签名波形在跳变点的能量,抽取15个具有较大能量的跳变点.经DTW比较后,提出了一种新的分类算法.实验表明,对于随机伪造签名,当误拒率为0%时,误纳率小于9%.

An on-line handwriting Chinese signature verification algorithm based on wavelet is proposed.By means of Daubechies wavelet decomposition of signature wave,and after reconstruction of part signal,the energy of sharp trajectory change point in the signature wave is extracted.Then,all the signature energies are arranged in descending order and the first M most dominant energies are chosen as feature vector.A new algorithm of classification is put forward.The presented algorithm based on energy feature is capable...

An on-line handwriting Chinese signature verification algorithm based on wavelet is proposed.By means of Daubechies wavelet decomposition of signature wave,and after reconstruction of part signal,the energy of sharp trajectory change point in the signature wave is extracted.Then,all the signature energies are arranged in descending order and the first M most dominant energies are chosen as feature vector.A new algorithm of classification is put forward.The presented algorithm based on energy feature is capable of eliminating quickly random forgeries for automatic signature verification.Experiment results show that false acceptance rate is 8.5 percent while false rejection rate is 0 percent for random forgery.

侧重签名能量特征提取方法的研究,提出了一种基于小波分析的在线手写汉字签名验证算法。基于Daubechies小波的方法对签名波形进行分解,重构部分波形后,提取签名波形在跳变点处的能量,并对跳变点处签名能量进行大小排序,选出M个较大能量作为特征矢量,并提出了一种新的匹配算法。算法能快速消除随机伪造签名,实现自动签名验证的目的。实验表明,对于随机伪造签名,当误拒率为0%时,误纳率为8.5%。

This paper mainly introduces how to use USB interface technology to the on- line signature verification system which real- izes fleet and accurate data transmission. USB communication includes hardware circuit (MCU+PDIUSBD12),firmware program,driver and application program. After anti- jamming solution, this system can show real- time signatures in the VC++ interface. The signa- ture data need some preprocessings including anormalizing character image, zero points solution and grey degree transformation to give...

This paper mainly introduces how to use USB interface technology to the on- line signature verification system which real- izes fleet and accurate data transmission. USB communication includes hardware circuit (MCU+PDIUSBD12),firmware program,driver and application program. After anti- jamming solution, this system can show real- time signatures in the VC++ interface. The signa- ture data need some preprocessings including anormalizing character image, zero points solution and grey degree transformation to give some advantages in the latter signature verification.

本篇论文主要侧重于阐明将USB通信应用到在线签名识别系统中,满足了信息传输的快速性和准确性;USB通信的实现主要包括硬件电路(MCU+PDIUSBD12接口芯片)和固件编程以及驱动和人机界面程序的编写,在经过抗干扰处理后结合VC++界面程序能够实现签名的实时显示;在PC机端将得到的签名波形进行各种预处理包括零点处理、大小归一化和灰度处理,这些处理为后续的识别分析提供了便利。

 
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