Canny滤波和DWT在指纹检测中的应用是一种新的方法

2010 13th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2010-12-01 DOI:10.1109/ICCITECHN.2010.5723865

N. Begum, M. Alam, M. I. Islam

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引用次数: 2

摘要

指纹检测是图像处理在安防系统中的重要应用之一。最近的文献讨论了基于模式识别、基于矩的图像识别和离散小波变换(DWT)的指纹检测。其中基于小波变换的分析只考虑图像的小波系数与保留系数的匹配，占用的存储空间最小。本文提出了一种结合图像滤波和颜色反演增强对比度以及二维DWT来得到图像矩阵的新方法。最后比较了一维小波变换的相关系数、偏度、峰度和近似系数卷积4个统计参数在人的指纹检测中的应用。

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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Application of Canny filter and DWT in fingerprint detection a new approach

Fingerprint detection is one of the most important applications of image processing in a security system. Recent literature deals with fingerprint detection based on pattern recognition, moment based image recognition and discrete wavelet transform (DWT). Among them DWT based analysis requires the least amount of memory space which considers only wavelet coefficient of an image in matching with preserved coefficient. This paper proposes a new approach, which combines image filtering and color inversion in enhancement of contrast along with two dimensional DWT to get the matrix of the image. Finally four statistical parameters: cross correlation coefficient, skewness, kurtosis and convolution of approximate coefficient of one dimensional DWT are compared in detection of fingerprint of a person.

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2010 13th International Conference on Computer and Information Technology (ICCIT)

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