BioSoft -一个多模态生物特征数据库，包含软特征

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI:10.1109/ISBA.2017.7947693

Debanjan Sadhya, Parth Pahariya, Rishi Yadav, Apoorv Rastogi, Ayush Kumar, Lakshya Sharma, S. Singh

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引用次数: 7

摘要

生物识别技术是一种自动认证机制，允许基于独特的生理和行为特征识别或验证个人。除了新的生物特征识别框架和协议外，包含样本生物特征的标准数据库对于验证所获得的结果至关重要。本文介绍了一个新的多模式数据库BioSoft，该数据库由75个个体的生物特征数据组成。与已有的数据库相比，BioSoft包含了一组23个与每个注册个体相对应的软生物特征。这一特性使得我们的数据库非常有用，因为没有其他人工提取的包含软生物特征的多模态数据库。此外，面部、耳朵、虹膜、声音、笔迹和指纹(从两个不同的传感器获得)的主要生物识别模式也存在于该数据库中。因此，我们的数据库包含个人的生理和行为特征，从而使其适用于验证各种各样的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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BioSoft - a multimodal biometric database incorporating soft traits

Biometrics is an automated authentication mechanism that allows the identification or verification of individuals based on unique physiological and behavioral characteristics. In addition to novel biometric recognition frameworks and protocols, standard databases containing sample biometric traits are essential for validating the obtained results. In this paper, we introduce a new multimodal database named BioSoft which consists of biometric data collected from 75 individuals. In comparison to the already existing databases, BioSoft contains a set of 23 soft biometric traits corresponding to each enrolled individual. This property makes our database very useful due to the unavailability of any other manually extracted multimodal database incorporating soft biometric characteristics. Additionally, the primary biometric modalities of face, ear, iris, voice, handwriting and fingerprints (obtained from two different sensors) are present in this database. Thus our database contains both physiological and behavioral characteristics of individuals, thus making it applicable for validating a wide variety of approaches.

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2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)

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