An optical fingerprint recognition method based on diffraction field

IF 2 4区 物理与天体物理 Q3 OPTICS
Yixuan Wu, Yu Liu, Haibitao Zhu, Shaohua Tao
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引用次数: 0

Abstract

Biometric technology, which authenticates identities with high reliability and stability by comparing the unique characteristics of human bodies, is widely used in the fields of electronic labeling, information security, access control, etc. Fingerprint recognition technology, which has the advantages of easy operation, fast recognition and high safety, has become the mainstream of the information decryption and access control application. In this paper, we proposed an optical fingerprint recognition method, which fulfilled recognition by comparing the characteristic intensity distributions of the diffraction fields of fingerprints. We carried out experiments for the recognition of fingerprints from different fingers and the same finger, and cropped fingerprints. The recognition results verified the feasibility of the proposed method. The method has advantages in terms of operation speed, recognition accuracy, and tolerance for partial information loss, and provides an effective way in optical sensing.
基于衍射场的光学指纹识别方法
生物识别技术通过比对人体独有的特征来验证身份,具有高度的可靠性和稳定性,被广泛应用于电子标签、信息安全、门禁控制等领域。指纹识别技术具有操作简便、识别速度快、安全性高等优点,已成为信息解密和门禁应用的主流。本文提出了一种光学指纹识别方法,通过比较指纹衍射场的特征强度分布来实现识别。我们进行了不同手指指纹、同一手指指纹和剪切指纹的识别实验。识别结果验证了所提方法的可行性。该方法在运行速度、识别准确性和对部分信息丢失的容忍度方面都具有优势,为光学传感提供了一种有效的方法。
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来源期刊
CiteScore
4.50
自引率
4.80%
发文量
237
审稿时长
1.9 months
期刊介绍: Journal of Optics publishes new experimental and theoretical research across all areas of pure and applied optics, both modern and classical. Research areas are categorised as: Nanophotonics and plasmonics Metamaterials and structured photonic materials Quantum photonics Biophotonics Light-matter interactions Nonlinear and ultrafast optics Propagation, diffraction and scattering Optical communication Integrated optics Photovoltaics and energy harvesting We discourage incremental advances, purely numerical simulations without any validation, or research without a strong optics advance, e.g. computer algorithms applied to optical and imaging processes, equipment designs or material fabrication.
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