多模态生物识别中指纹与在线签名的特征级融合

Mehwish Leghari, S. Memon, A. Chandio
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引用次数: 5

摘要

由于与单一生物识别系统相比,多模式生物识别系统提高了准确性和效率,降低了错误率或误接受率,提高了生物识别数据的安全性,几十年来,多模式生物识别系统受到了研究界的越来越多的关注。本研究初步探讨了指纹与在线签名融合的思路,使生物特征数据免遭盗窃和误用。提出的多模态生物识别系统将指纹和签名的特征结合起来,这是最广泛使用的生理和行为生物特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feature-level fusion of fingerprint and online signature for multimodal biometrics
Multimodal biometrie systems have received greater attention from the research community since few decades due to various reasons such as: to increase accuracy and efficiency as compared to a single biometric system, decrease error rate or false acceptance and improve the security of the biometric data. In this research, a preliminary idea has been discussed for the fusion of fingerprint and online signature to make the biometric data safe from theft and misuse. The proposed multimodal biometric system will combine the features from both the fingerprint and the signature, which are the most widely used physiological and behavioral biometric traits.
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