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  • 标题:Geometric Ear Recognition System using LabVIEW
  • 本地全文:下载
  • 作者:Sukhdeep Singh ; S.K. Singla
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:5
  • 出版社:S.S. Mishra
  • 摘要:Biometric person identification is a common technological tool for identity verification and carries significant importance for national or international security. Fingerprint, pa lm print, face, iris, ear etc are some of the unique features in human being and are used for automate identity and authentication. Ear detection is a new class of relatively stable biometrics which is not affected by facial expressions, cosmetics, eye glasses and aging effects. It has been suggested by the researchers that the shape and features of ear are unique for each person and invariant wit h age. In this paper geometric based ear detection has been discussed, as simple geometric approach which is based on the concept of max line. In the proposed scheme the features from the ear image have been extracted by measuring geometrical relation between predetermined points .The proposed method is reliable and user friendly as it is developed in LabVIEW and it is simple as this method does not require the inner boundary of ear and this system is accurate.
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