| 基于Adaboost的指纹图像分割算法 |
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| 引用本文： | 张美霞,王希常,刘江.基于Adaboost的指纹图像分割算法[J].山东师范大学学报(自然科学版),2013(4):24-27. |
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| 作者姓名： | 张美霞 王希常 刘江 |
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| 作者单位： | [1]山东师范大学信息科学与工程学院,济南250014 [2]山东省教育厅,济南250014 [3]山东省山大欧玛软件公司,济南250014 |
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| 摘 要： | 指纹图像分割是自动指纹识别系统的重要部分,针对已有指纹分割方法的不足,笔者提出了基于Adaboost的指纹图像分割方法.并且基于分级处理的思想,使用Otsu计算分割阈值,对图像进行初分割,然后又使用笔者提出的基于Adaboost的指纹分割方法对图像进一步的分割,最后采用形态学方法对细分割后的结果进行后处理实验证明,相对于已有的指纹图像分割方法,该方法具有较高的准确性和较强的适应性.
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| 关 键 词： | 自动指纹识别系统 指纹图像分割 Adaboost 分类 Otsu |
FINGERPRINT IMAGE SEGMENTATION BASED ON ADABOOST |
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| Zhang Meixia Wang Xichang Liu Jiang.FINGERPRINT IMAGE SEGMENTATION BASED ON ADABOOST[J].Journal of Shandong Normal University(Natural Science),2013(4):24-27. |
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| Authors: | Zhang Meixia Wang Xichang Liu Jiang |
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| Institution: | Zhang Meixia Wang Xichang Liu Jiang1 ) Shool of Information Science and Engineering, Shandong Normal University ,250014 ,Jinan,China; 2 ) Education Department of Shandong Province,250014, Jinan, China ; 3 ) Shandong Oumasoft Software Company,250014, Jinan, China ) |
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| Abstract: | Fingerprint image segmentation is an important part of fingerprint recognition.This paper proposed novel fingerprint image segmentation method based on Adaboost to overcome some shortages in the present literatures.We first segmented fingerprint image with Otsu,and then did the second segmentation with adaboost based on the subsequent processing,and finally morphology was applied as post processing to reduce misclassification.All experimental results show that the method holds superior accuracy and higher adaptability compared with other existing fingerprint image segmentation method. |
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| Keywords: | AFIS fingerprint image segmentation Adaboost Classification Otsu |
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