您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(工学版)》

山东大学学报(工学版)

• 机器学习与数据挖掘 • 上一篇    下一篇

基于二维正弦曲面滤波器的指纹图像增强算法研究

詹小四1,2,尹义龙1*,孟祥旭1,杨公平1   

  1. 1. 山东大学计算机科学与技术学院, 山东 济南 250101;
    2. 阜阳师范学院计算机与信息学院, 安徽 阜阳 236041
  • 收稿日期:2009-03-30 修回日期:1900-01-01 出版日期:2009-04-16 发布日期:2009-04-16
  • 通讯作者: 尹义龙

Research on fingerprint image enhancement algorithm based on twodimensional sine quadric surface filter

ZHAN Xiaosi 1,2, YIN Yilong 1*, MENG Xiangxu 1, YANG Gongping 1   

  1. 1. School of Computer Science & Technology, Shandong University, Jinan 250101,China;
    2. School of Computer & Information, Fuyang Normal College, Fuyang 236041, China
  • Received:2009-03-30 Revised:1900-01-01 Online:2009-04-16 Published:2009-04-16

摘要:

在深入分析指纹图像的基本特征及其对正弦曲面相似性的基础上,构造符合指纹局部区域纹线灰度分布规律的正弦曲面滤波器模型,并提出了基于该模型的指纹增强算法.实验结果表明,相比于加博增强算法,该算法具有更好的纹线连接能力,能有效提高指纹图像增强的实际效果和细节特征信息提取结果的准确性.

关键词: 指纹识别, 指纹增强, 正弦曲面, 加博

Abstract:

A twodimensional sine quadric surface model accord with the ridge gray distributing rule was designed, and a fingerprint enhancement algorithm was produced based on the model after analyzing the basic character of the fingerprint image. The experimental results indicated that the fingerprint enhancement algorithm had better connecting ability for broken ridges than the Gabor fingerprint enhancement algorithm. The algorithm can effectively improve the fingerprint image enhancement result and the accuracy of the minutiae extracting result.

Key words: fingerprint recognition, fingerprint enhancement, sine quadric surface, Gabor

中图分类号: 

  • TP391
[1] 何雪英1,2, 秦伟1, 尹义龙1*, 赵联征1,乔昊3. 基于机器学习的视频指纹识别[J]. 山东大学学报(工学版), 2011, 41(4): 29-33.
[2] 周广通,尹义龙,郭文鹃,任春晓. 基于协同训练的指纹图像分割算法[J]. 山东大学学报(工学版), 2009, 39(1): 22-26.
[3] 任春晓,尹义龙, . 基于标记盒的指纹分割[J]. 山东大学学报(工学版), 2006, 36(5): 54-57 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!