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  • 标题:Unique Identification of Identical Twins Using Multimodal Matching
  • 本地全文:下载
  • 作者:B.Lakshmi Priya ; M.Pushpa Rani
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2016
  • 卷号:4
  • 期号:4
  • 页码:6424
  • DOI:10.15680/IJIRCCE.2016.0404019
  • 出版社:S&S Publications
  • 摘要:Nowadays most systems that control access to financial transactions, computer networks, or secured locations identifying authorized persons by recognizing passwords or personal identification numbers. The weakness of these systems is that unauthorized persons can discover others passwords and numbers quite easily and use them without detection. Biometric identification systems, whichuse physical features to check a person's identity, ensure much greater security than password and number systems. Biometric features such as the face or a fingerprint can be stored on a microchip in a credit card. If someone steals the card and tries to use it, the impostors biometric features will not match the features stored in the card, and the system will prevent the transaction. In a single feature, sometimes fails to be exact enough for identification. For example consider identical twins. They have the same face structure and share same DNA sequence. Therefore, it is difficult to identify identical twins on the basis of their DNA sequences also. Their faces alone may not distinguish them. Another disadvantage of using only one feature is that the chosen feature is not always readable. For example, some five percent of people have fingerprints that cannot be recorded because they are obscured by a cut or a scar or are too fine to show up well in images. Therefore, inthis researchers have introduced a new approach for identifying identical twins on the basis of a multimodal identification system that uses three different features face, fingerprint and Mouth print to identify people. With its three modalities, achieves much greater accuracy than single-feature systems. The Experimental results prove to the best Performance among all the unimodal and multimodal biometric systems, achieving an almost perfect separation between genuine and impostor distributions of identical twins
  • 关键词:Face; Fingerprint; Identical Twins;Mouth Print; Multimodal Features
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