基于小波变换的指纹识别认证应用程序

Aunchisa Kwaochai, S. Pongyupinpanich, Pratya Areekul, W. San-Um
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引用次数: 1

摘要

本文介绍了一种基于小波变换的指纹检测认证应用程序。指纹是从犯罪现场、旧文件和出土物品中获得的。提出了一种基于小波纹理模式识别方法的指纹识别技术。通过收集两个人的不完整指纹,每个人有6张图像。原始的七个未完成的指纹图像未被检测到,只有一个被检测到。用小波变换方法增强图像质量后,发现7幅图像的图像质量都是完整的。比较方法是一种匹配技术。本课题通过对图像处理算法的研究,重点关注程序的能力和图像处理的知识。在设计算法过程中,在文献已有研究成果的基础上,采用了不同的技术增强,并对不同的滤波器和算法进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An application program of fingerprint detection using wavelet transform for authentication
This paper presents the application program of fingerprint detection using wavelet transform for authentication. Fingerprints are obtained from the site of crime, old documents and excavated things. This paper proposes a fingerprint recognition technique based on wavelet-based texture pattern recognition method. By collecting incomplete fingerprints of 2 people with 6 images each. The original seven of uncompleted fingerprint images were undetected and only one was detected. After enhancing image quality using wavelet transform method, it was found that those of seven images were completed. The comparison method was a matching technique. This work focuses on the ability of the program and knowledge of image processing by studying algorithms of image processing. In design algorithm process, different technique enhancements were employed as well as the study of different of filters and algorithms based on existing research results from literature.
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