手写体签名生物识别性能的压缩数据格式分析

O. Miguel-Hurtado, L. Mengibar-Pozo, Inmaculada Tomeo-Reyes, J. Liu-Jimenez
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引用次数: 6

摘要

本文讨论了由ISO 19794项目提出的签名数据格式:19794第7部分完整格式和压缩格式(2007年出版)以及正在开发中的新的19794第11部分。将展示这些格式如何处理来自签名输入设备的原始数据,以及每种格式的生物特征信息记录的大小。提出了采用LZ77压缩算法的另一种压缩方法,并进行了测试。本文还将展示使用这些压缩格式对两种不同算法性能的影响:动态时间翘曲和高斯混合模型。使用MCyT和SVC2004特征数据库进行所有测试。
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Analysis on compact data formats for the performance of handwritten signature biometrics
This paper deals with the Signature Data Formats proposed by ISO 19794 project: 19794 part 7 Full Format and Compact Format (published in 2007) and the new 19794 part 11, which is under development. It will be shown how these formats handle the raw data coming from a Signature Input Device, and what the size of a Biometric Information Record is for each one. Another compression method, using LZ77 compression algorithm, is proposed and tested. The paper will also show the impact of using these compact formats on the performance of two different algorithms: Dynamic Time Warping and Gaussian Mixture Models. MCyT and SVC2004 signature databases have been used to carry out all tests.
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