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A Multimodal Biometric System using Global Features for Identical Twins Identification

机译:使用全局特征识别双胞胎的多模式生物特征识别系统

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摘要

Pattern recognition studies are currently focusing on twin's biometric identification.The system of twins’ biometric Identification can potentially differentiate the individual's biometric pattern.With the new Unimodal biometric identification,identical twins are precisely and reliably identified,with well exposure of certain traits.However,it is much more challenging to identify identical twins as they share so many similarities between them,as opposed to identifying the non-t,wins.Therefore,this study proposes the use of more than one biometric trait with global features.Pattern recognition application includes extracting and selecting meaningful features and this has brought to the key question in twin handwriting-fingerprint identification: How to obtain features from many writing styles and shapes of twin handwritingfingerprint in order that the reflection of the right person between twins can be obtained.Global with Aspect United Moment Invariant for the extractions of global feature using the identical twin multi-biometric identification is thus proposed by this study.
机译:模式识别研究目前专注于双胞胎的生物特征识别。双胞胎的生物特征识别系统可以潜在地区分个人的生物特征模式。借助新的单峰生物特征识别,可以准确可靠地识别出同卵双胞胎,并且可以很好地暴露某些特征。识别同卵双胞胎更具挑战性,因为它们之间有着如此多的相似性,而不是识别非双胞胎。因此,本研究建议使用多个具有全局特征的生物特征。模式识别应用包括提取并选择有意义的特征,这已成为双胞胎笔迹指纹识别中的关键问题:如何从双胞胎笔迹指纹的许多书写样式和形状中获取特征,以便获得双胞胎之间正确人的反映。 Aspect United Moment Invariant用于提取全局特征因此,这项研究提出了使用相同的双生多生物识别技术。

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