基于生物特征掌静脉特征的人识别系统的开发:掌静脉生物识别系统

S. D. Raut, V. Humbe, Arjun V. Mane
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引用次数: 3

摘要

生物特征认证是主流,由于数据和安全方面的担忧,算法的发展受到研究者的关注。手掌静脉生物特征是开发高效识别系统最具前景的生理特征。本文讨论了生物特征密钥生成的新维度,即通过严格的模式识别和信息安全策略提取的无模板密钥生成。密钥的生成是通过一定的数字图像处理操作映射、距离度量计算和信息安全策略来实现的。提出了识别系统模型,该模型包括特征提取和检测两个阶段,随后发展了基于被检测手掌静脉特征特征的识别技术。本文提出了一种新颖且鲁棒的主题识别算法。实验结果表明,该方法对主体的识别准确率高达99.47%。
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Development of biometrie palm vein trait based person recognition system: Palm vein biometrics system
Biometrie Authentication is the main stream to attract attention of researcher to develop algorithm for data and security concern. The palm vein biometric is emerging as the most promising physiological characteristic to develop efficient recognition system. This paper discuss about the new dimension to generate biometric trait key rather a template free key generation extracted by means of rigorous pattern recognition and information security tactics. The generation of key is exercised through mapping of certain digital image processing operation, distance metric computation and information security policies. The model of recognition system proposed that includes phases such as feature extraction and detection followed by the development of recognition technique based on unique and distinct detected palm vein feature characteristics. The proposed work gives novel and robust algorithm for the recognition of the subject. The experimental work gives result with 99.47% high rate of accuracy for the recognition of the subject.
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