Fingerprint classification by a hierarchical classifier
文献类型:期刊论文
作者 | Cao, Kai1; Pang, Liaojun1; Liang, Jimin1; Tian, Jie1,2![]() |
刊名 | PATTERN RECOGNITION
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出版日期 | 2013-12-01 |
卷号 | 46期号:12页码:3186-3197 |
关键词 | Fingerprint classification Complex filter response Support vector machine Ridge line flow Hierarchical classifier |
英文摘要 | Fingerprint classification is still a challenging problem due to large intra-class variability, small inter-class variability and the presence of noise. To deal with these difficulties, we propose a regularized orientation diffusion model for fingerprint orientation extraction and a hierarchical classifier for fingerprint classification in this paper. The proposed classification algorithm is composed of five cascading stages. The first stage rapidly distinguishes a majority of Arch by using complex filter responses. The second stage distinguishes a majority of Whorl by using core points and ridge line flow classifier. In the third stage, K-NN classifier finds the top two categories by using orientation field and complex filter responses. In the fourth stage, ridge line flow classifier is used to distinguish Loop from other classes except Whorl. SVM is adopted to make the final classification in the last stage. The regularized orientation diffusion model has been evaluated on a web-based automated evaluation system FVC-onGoing, and a promising result is obtained. The classification method has been evaluated on the NIST SD 4. It achieved a classification accuracy of 95.9% for five-class classification and 97.2% for four-class classification without rejection. (C) 2013 Elsevier Ltd. All rights reserved. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
研究领域[WOS] | Computer Science ; Engineering |
关键词[WOS] | SUPPORT VECTOR MACHINES ; SINGULAR POINTS ; NEURAL NETWORKS ; IMAGES ; MODEL ; FLOW |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000323804100003 |
源URL | [http://ir.ia.ac.cn/handle/173211/4105] ![]() |
专题 | 自动化研究所_中国科学院分子影像重点实验室 |
作者单位 | 1.Xidian Univ, Sch Life Sci & Technol, Life Sci Res Ctr, Xian 710071, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Cao, Kai,Pang, Liaojun,Liang, Jimin,et al. Fingerprint classification by a hierarchical classifier[J]. PATTERN RECOGNITION,2013,46(12):3186-3197. |
APA | Cao, Kai,Pang, Liaojun,Liang, Jimin,&Tian, Jie.(2013).Fingerprint classification by a hierarchical classifier.PATTERN RECOGNITION,46(12),3186-3197. |
MLA | Cao, Kai,et al."Fingerprint classification by a hierarchical classifier".PATTERN RECOGNITION 46.12(2013):3186-3197. |
入库方式: OAI收割
来源:自动化研究所
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