e-BioSign-DS1-Signature DB

<b>DESCRIPTION OF e-BioSign-DS1-Signature DB</b>The dataset comprises <b>on-line signatures </b>acquired from 5 different COTS devices in total, three Wacom devices (STU-500, STU-530 and DTU-1031) specifically designed to capture dynamic signatures and handwritng, and two Samsung general purpose tablets (Samsung Galaxy Note 10.1 and Samsung ATIV 7). For the two Samsung tablets, data is collected using both pen stylus and also the finger. Data was collected in two sessions for 65 subjects. Skilled forgeries were also performed. In Fig. 1 the description of the devices and the acquisition setup per device and user considered in the e-BioSign database are depicted. We report in [PONE2017] a benchmark performance based on e-BioSign for person verification under three different real scenarios: 1) intra-device scenario, 2) inter-device scenario, and 3) mixed writing-tool scenario. We have also experimented the proposed benchmark using the main existing approaches for signature verification: feature- and time functions-based.<br><b>REFERENCES</b>For further information on the database and on different applications where it has been used, we refer the reader to:[PONE2017] R. Tolosana, R. Vera-Rodriguez, J. Fierrez, A. Morales and J. Ortega-Garcia, "Benchmarking Desktop and Mobile Handwriting across COTS Devices: the e-BioSign Biometric Database.", <i>PLOS ONE, 2017.</i><br><i><br></i><b>INSTRUCTIONS FOR DOWNLOADING e-BioSign-DS1-Signature DB</b><br>1. Download the following license agreement, send by email one signed and scanned copy to <b>[e-mail] </b>according to the instructions given in point 2.<b>https://atvs.ii.uam.es/atvs/licenses/e-BioSign-DS1-Signature_License.pdf</b>2. Send an email to <b>[e-mail]</b>, as follows:<br><i>Subject</i>:<b> [DATABASE download: e-BioSign-DS1-Signature DB]<br></b><i><br>Body</i>: Your name, e-mail, telephone number, organization, postal mail, purpose for which you will use the database, time and date at which you sent the email with the signed license agreement.<br>3. Once the email copy of the license agreement has been received at ATVS, you will receive an email with a username, a password, and a time slot to download the database.<br>4. Download the database, for which you will need to provide the authentication information given in step 4. After you finish the download, please notify by email to <b>[e-mail]</b> that you have successfully completed the transaction.5. For more information, please contact: <b>[e-mail]</b><b><br></b><b>ADDITIONAL INFORMATION </b><b><br></b><b>https://atvs.ii.uam.es/atvs/eBioSign-DS1.html<br></b><br><b><br></b><br><b><br></b>

<b>e-BioSign-DS1签名数据库说明</b>
本数据集包含<b>在线签名（on-line signature）</b>数据，总计采集自5台不同的商用现货（Commercial Off-The-Shelf, COTS）设备：3台Wacom专用设备（STU-500、STU-530与DTU-1031），这类设备专为采集动态签名与手写笔迹设计；另外2台为三星通用平板电脑（三星Galaxy Note 10.1与三星ATIV 7）。针对这两台三星平板，数据采集同时支持触控笔与手指输入两种方式。

数据采集面向65名受试者，分为两次会话完成，同时包含熟练伪造签名样本。图1展示了e-BioSign数据库中所使用的全部设备详情，以及每台设备与对应用户的采集设置方案。我们在文献[PONE2017]中报告了基于e-BioSign数据集的基准测试性能，针对三种不同真实场景下的身份验证任务：1）设备内场景；2）设备间场景；3）混合书写工具场景。我们还采用当前主流的签名验证方法对该基准测试进行了验证，包括基于特征函数与时间函数的两类方法。

<b>参考文献</b>
如需了解该数据库的更多信息以及其已应用的各类场景，请参阅：[PONE2017] R. Tolosana、R. Vera-Rodriguez、J. Fierrez、A. Morales与J. Ortega-Garcia, "跨商用现货设备的桌面与手写笔迹基准测试：e-BioSign生物特征数据库", <i>PLOS ONE</i>, 2017年。

<b>e-BioSign-DS1签名数据库下载指南</b>
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<b>补充信息</b>
<b>https://atvs.ii.uam.es/atvs/eBioSign-DS1.html</b>

搜集汇总

背景与挑战

背景概述

e-BioSign-DS1-Signature DB是一个多设备采集的在线签名数据库，包含65名受试者在两个会话中的真实和伪造签名数据，支持签名验证的基准测试和多场景分析。