Study on Direction Information in Fingerprint Image Processing

Abstract

Abstract: Automatic fingerprint identification provides an effective way for personal identification. The direction information in fingerprint images is very useful for fingerprint preprocessing ,classification and matching.This paper presents an algorithm which directly computes the direction image on the gray level images. Experimental results show that it is feasible for fingerprint processing.

摘要： 指纹自动识别已成为个人身份识别的有效手段。指纹图像的方向信息对指纹的预处理、分类及匹配有着重要的作用。该文介绍了一种直接利用指纹灰度信息进行指纹图像方向图计算的方法，实验结果表明，它是行之有效的。

关键词: 指纹, 方向图, 自动识别

CLC Number:

TP391.41

LIU Weixing. Study on Direction Information in Fingerprint Image Processing[J]. , 2003, 29(20): 119-.

刘卫星. 指纹图像处理中方向信息的研究[J]. , 2003, 29(20): 119-.

/ Recommend / Download Citations

URL: https://www.ecice06.com/EN/Y2003/V29/I20/119

[1]	DONG Liangzhen, TIAN Jianyan, YANG Shengqiang, CHEN Haibin. Image Enhancement of Parts Surface Based on Illumination Correction and Image Fusion [J]. Computer Engineering, 2024, 50(6): 245-254.
[2]	LI Jing, LI Jian, CHEN Haifeng, ZHANG Qian, WANG Liyan, PEI Ercheng. Facial Expression Recognition Based on Key Region Masking and Reconstruction [J]. Computer Engineering, 2024, 50(5): 241-249.
[3]	LONG Chenzhi, CHEN Ping, LI Chuankun. Fusing Global-Local Contextual Information for Small Object Multi-Person Pose Estimation [J]. Computer Engineering, 2024, 50(4): 342-349.
[4]	LIU Yanhong, YANG Qiuxiang, HU Shuai. Research on Multi-Scale Feature Fusion Dehazing Network Based on Feature Differences [J]. Computer Engineering, 2024, 50(4): 247-257.
[5]	WEI Ziwei, QU Dan, LIU Cong. Method for Person Re-identification Feature Extraction Based on Connected Attention [J]. Computer Engineering, 2022, 48(7): 220-226.
[6]	ZHANG Yexing, CHEN Min, PAN Qiuyu. Object Detection Method Based on Feature Channel Modeling [J]. Computer Engineering, 2022, 48(7): 264-269,299.
[7]	HAO Axiang, JIA Guojun. Person Re-identification Model Combining Attention and Batch Feature Erasure [J]. Computer Engineering, 2022, 48(7): 270-276,306.
[8]	CUI Yunxuan, LIU Guihua, YU Dongying, GUO Zhongyuan, ZHANG Wenkai. Lidar-Mono-Inertial SLAM System with Fusion of Point-Line Features [J]. Computer Engineering, 2022, 48(7): 254-263.
[9]	HU Xinrong, GONG Chuang, ZHANG Zili, ZHU Qiang, PENG Tao, HE Ruhan. Clothing Image Segmentation Network Based on Improved Deeplab v3+ [J]. Computer Engineering, 2022, 48(7): 284-291.
[10]	WANG Anzhi, REN Chunhong, HE Linyan, YANG Yuanying, QU Weihua. Light Field Salient Object Detection Based on Multi-modal Multi-level Feature Aggregation Network [J]. Computer Engineering, 2022, 48(7): 227-233,240.
[11]	ZHOU Peichun, WU Lan'an. Multi-Scale Multi-Kernel Gaussian Process Latent Variable Model [J]. Computer Engineering, 2021, 47(2): 285-292.
[12]	GU Li, JI Yi, LIU Chunping. Classification Method of Three-Dimensional Point Cloud Based on Multiple Modal Feature Fusion [J]. Computer Engineering, 2021, 47(2): 279-284.
[13]	WANG Lin, LI Conghui. Pedestrian Attribute Recognition Based on Multi-Level Attention Skip Connection Network [J]. Computer Engineering, 2021, 47(2): 314-320.
[14]	CHEN Yang, LI Dawei. Monocular Image Depth Understanding Based on Scene Modality Depth Understanding Network [J]. Computer Engineering, 2021, 47(2): 268-278.
[15]	ZHOU Linyong, XIE Xiaoyao, LIU Zhijie, TAN Hongwei, YOU Shanping. Image Identification Algorithm Based on ACGAN [J]. Computer Engineering, 2019, 45(10): 246-252,259.

Please choose a citation manager

Content to export