Improved method for getting orientation field of fingerprint image

doi:10.3778/j.issn.1002-8331.2009.03.055

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (3): 184-186.DOI: 10.3778/j.issn.1002-8331.2009.03.055

• 图形、图像、模式识别 • Previous Articles Next Articles

Improved method for getting orientation field of fingerprint image

SU Yong-li,ZHANG Bo,ZHANG Shu-ling

Department of Mathematics，Northwest University，Xi’an 710069，China

Received:2008-07-21 Revised:2008-09-02 Online:2009-01-21 Published:2009-01-21
Contact: SU Yong-li

改进的指纹图像方向图求取方法

苏永利,张博,张书玲

西北大学数学系，西安 710069

通讯作者: 苏永利

Abstract

Abstract: In order to enhance the accuracy of the fingerprint image orientation field，an improved method based on traditional fingerprint image orientation field computing algorithm-discrete orientation sampling method is proposed.On the foundation of the original sampling template，it comprehensive considers dates of all layers outside of the central pixel，and gives the improved sampling template.The experimental result indicates that the orientation field of fingerprint from the article method is more accurate than the traditional discrete orientation sampling method and the gray gradient method.

Key words: fingerprint, orientation field, discrete direction sampling, gray gradient

摘要： 为提高指纹图像方向图的准确性，提出了一种传统的指纹图像方向图求取算法－离散方向采样法的改进方法。该方法在原有采样模板的基础上，综合考虑中心像素点外的各层数据，给出了改进的采样模板。实验结果表明该方法比传统的离散方向采样法和灰度梯度法得到的指纹图像方向图更加准确。

关键词: 指纹, 方向图, 离散方向采样法, 灰度梯度法

SU Yong-li,ZHANG Bo,ZHANG Shu-ling. Improved method for getting orientation field of fingerprint image[J]. Computer Engineering and Applications, 2009, 45(3): 184-186.

苏永利,张博,张书玲. 改进的指纹图像方向图求取方法[J]. 计算机工程与应用, 2009, 45(3): 184-186.

[1]	YAO Shanshan, NIU Baoning. Sampling and Counting Audio Retrieval Method Resistant to Pitch-Shift [J]. Computer Engineering and Applications, 2021, 57(12): 126-131.
[2]	YANG Jinpeng, CHANG Jun, YU Jiang, LI Xiaowei. Calibration-Free Indoor Location Method for Across Heterogeneous Devices [J]. Computer Engineering and Applications, 2020, 56(2): 248-254.
[3]	GUO Chen, LI Xinwei, YANG Yi, XU Lianghao. Video Fingerprinting Algorithm Based on Non-local 3D Residual Network [J]. Computer Engineering and Applications, 2020, 56(19): 216-223.
[4]	CHEN Wenyan, FAN Wenbo, YANG Junyu. Small-Size Fingerprint Recognition Method Based on Densely Connected Convolutional Network [J]. Computer Engineering and Applications, 2020, 56(10): 134-140.
[5]	CHEN Xining1，2, MA Weiyin3, LI Li4. Fingerprint Localization Data Processing Method Based on Spark [J]. Computer Engineering and Applications, 2019, 55(4): 79-83.
[6]	QIAO Ran, YAN Jiangyu, TANG Liangrui. Multidimensional Gaussian Based Wireless Sensor Network Localization Algorithm [J]. Computer Engineering and Applications, 2019, 55(23): 99-104.
[7]	WANG Kai, CHEN Liyun, LI Haopeng. Website Fingerprinting Attack Method Against SSH Anonymous Traffic [J]. Computer Engineering and Applications, 2019, 55(21): 99-103.
[8]	XIA Yusheng, LIU Kai, ZHANG Hao, JIN Feiyu, ZHENG Linjiang. Multilateral-Confined Method for Indoor Localization：Algorithm Design and System Implementation [J]. Computer Engineering and Applications, 2019, 55(11): 250-256.
[9]	ZHANG Yuqing, WANG Weiping, WANG Wei. Identification of changed browser fingerprint [J]. Computer Engineering and Applications, 2018, 54(7): 102-106.
[10]	GUO Rui, ZHANG Xuefeng. Combination fingerprint template protection algorithm based on Bloom filter and block [J]. Computer Engineering and Applications, 2018, 54(6): 75-80.
[11]	WANG Haiyan1，2, YUAN Xueqin1, SONG Chao1, ZHANG Zhengyong1，2, LIU Jun1，2, SHA Min1，2. Identification of apple essences based on similarity analysis and artificial neural network [J]. Computer Engineering and Applications, 2018, 54(4): 141-147.
[12]	YANG Bin, LI Deng’ao, ZHAO Jumin. Local updating fingerprint localization algorithm based on region partition [J]. Computer Engineering and Applications, 2018, 54(17): 56-61.
[13]	LI Hongqi, FENG Haibo, ZHANG Wei, YANG Zhongguo, SONG Weicheng. Improved eliminating duplicated web pages based on feature vector of character set [J]. Computer Engineering and Applications, 2017, 53(2): 53-57.
[14]	CHEN Bo1, QIN Xizhong1, JIA Zhenhong1, DENG Lei2，WANG Xiaobing2, ZHANG Jialin2. Improved Gaussian particle filter algorithm for indoor positioning [J]. Computer Engineering and Applications, 2017, 53(14): 246-250.
[15]	ZHANG Hong, ZHENG Peitian. Improved Otsu threshold method for gray gradient mapping function [J]. Computer Engineering and Applications, 2017, 53(12): 190-195.

Improved method for getting orientation field of fingerprint image

改进的指纹图像方向图求取方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics