Wavelet-Based Fingerprint Region Selection

机译：基于小波的指纹区域选择

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摘要

In this paper a novel approach for detecting fingerprint regions with relevant information is presented. This method is based on the capability of the wavelet transform to select image information considering at the same time spatial and frequency domains. The method has been tested with two fingerprint data bases providing excellent results. With this method the fingerprint core can be detected and also the background can be detached, providing an efficient region selection for any feature extraction method, preprocessing and matching algorithms.

机译：本文提出了一种具有相关信息的指纹区域检测方法。该方法基于小波变换在考虑空间和频域的同时选择图像信息的能力。该方法已经过两个指纹数据库的测试，可提供出色的结果。使用这种方法，可以检测指纹核心，还可以分离背景，从而为任何特征提取方法，预处理和匹配算法提供了有效的区域选择。

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来源
《International Conference on Computer Analysis of Images and Patterns(CAIP 2007); 20070827-29; Vienna(AT)》|2007年|P.391-398|共8页
会议地点 Vienna(AT)
作者
Almudena Lindoso; Luis Entrena; Judith Liu-Jimenez;
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作者单位

University Carlos III of Madrid, Electronic Technology Department, Butarque 15, 28911 Leeanes, Madrid, Spain;

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会议组织
原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
关键词
fingerprint; biometrics; wavelet;

机译：指纹;生物计量学;小波;

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1. Screening analysis of river seston downstream of an effluent discharge point using near-infrared reflectance spectrometry and wavelet-based spectral region selection [J] . Vania Maria de Medeiros, Mario Cesar Ugulino Araujo, Roberto Kawakami Harrop Galvao, Water Research . 2005,第13期

机译：基于近红外反射光谱法和基于小波的谱域选择对废水排放口下游河堤的筛选分析
2. Efficient wavelet-based perceptual watermark masking for robust fingerprint image watermarking [J] . Zebbiche K., Khelifi F. Image Processing, IET . 2014,第1期

机译：基于鲁棒指纹图像水印的基于小波的有效水印掩盖
3. A Review of Wavelet-Based Image Processing Methodsfor Fingerprint Compression in Biometric Application [J] . B. S. Emmanuel, M. B. Mua€?azu, S. M. Sani, British Journal of Mathematics Computer Science . 2014,第19期

机译：基于小波的指纹图像生物识别图像处理方法综述
4. Wavelet-Based Fingerprint Region Selection [C] . Almudena Lindoso, Luis Entrena, Judith Liu-Jimenez International Conference on Computer Analysis of Images and Patterns . 2007

机译：基于小波的指纹区域选择
5. Recently duplicated genomes and genic regions can be resolved with fingerprinting given sufficient and appropriate bioinformatic analysis. [D] . Shultz, Jeffry L. 2005

机译：如果有足够和适当的生物信息学分析，可以使用指纹识别来解决最近重复的基因组和基因区域。
6. Target Region Selection Is a Critical Determinant of Community Fingerprints Generated by 16S Pyrosequencing [O] . Purnima S. Kumar, Michael R. Brooker, Scot E. Dowd, 2008

机译：目标区域的选择是由16S焦磷酸测序产生的社区指纹的关键决定因素。
7. Target Region Selection Is a Critical Determinant of Community Fingerprints Generated by 16S Pyrosequencing [O] . Kumar, Purnima S., Brooker, Michael R., Dowd, Scot E., 2011

机译：目标区域的选择是由16S焦磷酸测序产生的社区指纹的关键决定因素。
8. Enhancing Hyperspectral Data Throughput Utilizing Wavelet-Based Fingerprints [R] . Ginsberg, I. W. 1999

机译：利用基于小波的指纹增强高光谱数据吞吐量

Wavelet-Based Fingerprint Region Selection

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