Automated system for fingerprint authentication using pores and ridge structure

Automated system for fingerprint authentication using pores and ridge structure
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DOI:
10.1117/12.191885
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发表时间:
1994-10
期刊:
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影响因子:
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通讯作者:
J. Stosz;Lisa A. Alyea
J. Stosz;Lisa A. Alyea
中科院分区:
其他
文献类型:
--
作者:
J. Stosz;Lisa A. Alyea

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提出了一种利用实时扫描图像中提取的孔隙信息进行指纹自动认证的新方法。已知指纹脊上毛孔的位置可以提供个人独有的信息,并且足以用于身份识别。通过结合使用脊和孔隙特征,我们开发了一种独特的多级验证/识别技术,该技术比仅使用脊信息的系统具有优势。为了提取相关的孔隙信息,需要能够提供高分辨率指纹图像的光学/电子传感器,这使得电子扫描的墨水指纹不太可能包含足够或足够一致的孔隙数据,以用于身份验证。这种技术的可行性已经被一个工作系统所证明,该系统被设计用来提供对计算机的安全访问。基于原型验证系统的初始测试,观察到低误拒率和零误接受错误率。
A novel technique for automated fingerprint authentication is presented which utilizes pore information extracted from live scanned images. The position of the pores on the fingerprint ridges is known to provide information that is unique to an individual and is sufficient for use in identification. By combining the use of ridge and pore features, we have developed a unique multilevel verification/identification technique that possesses advantages over systems employing ridge information only. An optical/electronic sensor capable of providing a high resolution fingerprint image is required for extraction of pertinent pore information, which makes it unlikely that electronically scanned inked fingerprints would contain adequate pore data that is sufficient, or consistent enough, for use in authentication. The feasibility of this technique has been demonstrated by a working system that was designed to provide secure access to a computer. Low false reject and zero false accept error rates have been observed based on initial testing of the prototype verification system.