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IRIS biometrics survey 2010–2015

机译:IRIS生物识别调查2010–2015

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摘要

This paper gives a survey on Iris Biometric recognition technique for past few years. Iris is one of the most promising, reliable, and robust biometric technology. In this paper, advancements in research methodologies used by different researchers for iris localization, iris segmentation, feature extraction, and classification are discussed. The limitations of existing algorithms and their results are also discussed. We also discussed here, existing difficulties in iris biometric, possible solutions on them, and future scope in this field. The vast progress in this field shows that iris biometric still needs fast, real time, reliable, and robust algorithms so as to have higher recognition rate and better accuracy. We hope that this paper will surely increase interest of new researchers towards this area with new opportunities and challenges.
机译:本文对过去几年的虹膜生物识别技术进行了调查。虹膜是最有前途,可靠和强大的生物识别技术之一。在本文中,讨论了不同研究人员用于虹膜定位,虹膜分割,特征提取和分类的研究方法的进展。还讨论了现有算法的局限性及其结果。我们还在这里讨论了虹膜生物识别技术中存在的困难,可能的解决方案以及该领域的未来范围。该领域的巨大进步表明,虹膜生物特征识别仍需要快速,实时,可靠和健壮的算法,以具有更高的识别率和更好的准确性。我们希望本文将一定会带来新的机遇和挑战,从而增加新研究人员对该领域的兴趣。

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