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An efficient fingerprint identification algorithm based on minutiae and invariant moment

文献类型：期刊论文

作者Sang, Jing2; Wang, Hongxia2; Qian, Qing2; Wu, Hanzhou1; Chen, Yi2
刊名PERSONAL AND UBIQUITOUS COMPUTING
出版日期2018-02-01
卷号22期号:1页码:71-80
关键词Fingerprint identification STFT Minutiae Invariant moment Home entertainment
ISSN号1617-4909
DOI10.1007/s00779-017-1094-1
通讯作者Sang, Jing(sang.jing@qq.com) ; Wang, Hongxia(hxwang@swjtu.edu.cn)
英文摘要While we are experiencing many advantages of digital technologies and products, the security issues are also attracting increasing concerns. The secure fingerprint identification has become one of the most important research topics because of these increasing concerns. It has promoted us to propose an efficient fingerprint identification algorithm based on minutiae and invariant moment in this paper. In the proposed algorithm, the raw fingerprint image is first enhanced by the short-time Fourier transform (STFT). After that, the fingerprint minutiae can be extracted, which thereafter are selected as the center of region of interest (ROI), according to morphological transformation. Finally, a metric called cosine similarity among invariant moments is utilized to judge the similarities between fingerprint objects in the procedure of identification. The proposed algorithm is not limited to the fingerprint image with the fingerprint core. Experimental results show that the proposed algorithm provides a better performance in terms of matching accuracy when compared with the related works. The average accuracy is up to 96.67%. Moreover, the use of invariant moment of the ROI can avoid the leakage of fingerprint information and improve the security level of fingerprint recognition. Therefore, the proposed scheme is potentially used in many applications, such as smart fingerprint lock, intelligent community management information system, and automation control of home appliances.
WOS关键词FEATURES
资助项目National Natural Science Foundation of China (NSFC)[U1536110]
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:000423821000009
出版者SPRINGER LONDON LTD
资助机构National Natural Science Foundation of China (NSFC)
源URL[http://ir.ia.ac.cn/handle/173211/28283]  
专题自动化研究所_脑网络组研究中心
通讯作者Sang, Jing; Wang, Hongxia
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Sichuan, Peoples R China
推荐引用方式
GB/T 7714		 Sang, Jing,Wang, Hongxia,Qian, Qing,et al. An efficient fingerprint identification algorithm based on minutiae and invariant moment[J]. PERSONAL AND UBIQUITOUS COMPUTING,2018,22(1):71-80.
APA Sang, Jing,Wang, Hongxia,Qian, Qing,Wu, Hanzhou,&Chen, Yi.(2018).An efficient fingerprint identification algorithm based on minutiae and invariant moment.PERSONAL AND UBIQUITOUS COMPUTING,22(1),71-80.
MLA Sang, Jing,et al."An efficient fingerprint identification algorithm based on minutiae and invariant moment".PERSONAL AND UBIQUITOUS COMPUTING 22.1(2018):71-80.

入库方式： OAI收割

来源：自动化研究所

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