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首页> 外文期刊>International Journal of Innovative Computing Information and Control >HUMAN IDENTITY VERIFICATION VIA AUTOMATED ANALYSIS OF FINGERPRINT SYSTEM FEATURES
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HUMAN IDENTITY VERIFICATION VIA AUTOMATED ANALYSIS OF FINGERPRINT SYSTEM FEATURES

机译：通过指纹系统特征的自动分析进行人类身份验证

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摘要

Automatic biometric recognition systems are considered recently a milestone of many potential commercial and civilian applications. Fingerprint, is one of the biometric traits, which has proved its reliability as a distinctive feature for an individual. In this paper, a fingerprint recognition system has been proposed that extracts unique features to distinguish one fingerprint from others in order to develop a piece of security system for identity verification. Although there are several algorithms for fingerprint authentication, there is still a need to close the gap of accurateness in minutiae matching and pattern matching method. In this paper, we will study the detection of minutia coordinates and ridge orientation to determine uniqueness and do matching, focusing on three main phases: Fingerprint Image Preprocessing, Segmentation, and Feature Extraction. Through MATLAB simulation, the proposed algorithm performance is verified and the results show that recognition rate accuracy reaches up to 96.11%.
机译：自动生物识别系统最近被认为是许多潜在的商业和民用应用的里程碑。指纹是生物特征之一，已经证明了其作为个人独特功能的可靠性。在本文中，已经提出了一种指纹识别系统，其提取独特的特征以将一个指纹与其他指纹区分开来，以开发一种用于身份验证的安全系统。尽管有几种用于指纹认证的算法，但是仍然需要缩小细节匹配和模式匹配方法的准确性差距。在本文中，我们将研究指纹细节坐标和山脊方向的检测以确定唯一性并进行匹配，重点是三个主要阶段：指纹图像预处理，分割和特征提取。通过MATLAB仿真，验证了所提算法的性能，结果表明识别率准确率达到96.11％。

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