Real time fingerprint identification

Mohammad S. Alam, M. Akhteruzzaman
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引用次数: 12

Abstract

The pattern matching for fingerprints requires a large amount of data and computation time. Practical fingerprint identification systems require minimal errors and ultrafast processing time to perform real time verification and identification. By utilizing the two-dimensional processing capability, fast processing speed and non-interfering communication of optical processing techniques, such extremely fast real time fingerprint identification systems can be implemented. Among the various pattern matching systems, the joint transform correlator (JTC) has been found to be inherently suitable for real time matching applications. Among the various JTCs the fringe-adjusted JTC has been found to yield significantly better correlation output compared to alternate JTCs. In this paper, a fingerprint identification system has been developed based on the fringe-adjusted JTC. Since all pattern matching systems suffer from high sensitivity to distortions, the synthetic discriminant function concept has been incorporated in fringe-adjusted JTC to ensure distortion-invariant fingerprint identification.
实时指纹识别
指纹的模式匹配需要大量的数据量和计算时间。实用的指纹识别系统需要最小的误差和超快的处理时间来进行实时验证和识别。利用光学处理技术的二维处理能力、快速的处理速度和无干扰的通信,可以实现这种极快的实时指纹识别系统。在各种模式匹配系统中,联合变换相关器(JTC)固有地适合于实时匹配应用。在各种JTC中,与其他JTC相比,经条纹调整的JTC产生了明显更好的相关输出。本文开发了一种基于条纹调整JTC的指纹识别系统。由于模式匹配系统对畸变的敏感性较高,本文将综合判别函数的概念引入条纹调整JTC中,以保证指纹识别的畸变不变性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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