CASIA OpenIR  > 09年以前成果
Segmentation of fingerprint images using linear classifier
Chen, XJ; Tian, J; Cheng, J; Yang, X; Tian, Jie
AbstractAn algorithm for the segmentation of fingerprints and a criterion for evaluating the block feature are presented. The segmentation uses three block features: the block clusters degree, the block mean information, and the block variance. An optimal linear classifier has been trained for the classification per block and the criteria of minimal number of misclassified samples are used. Morphology has been applied as postprocessing to reduce the number of classification errors. The algorithm is tested on FVC2002 database, only 2.45% of the blocks are misclassified, while the postprocessing further reduces this ratio. Experiments have shown that the proposed segmentation method performs very well in rejecting false fingerprint features from the noisy background.
KeywordFingerprint Image Segmentation Block Features Linear Classification Image Processing
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000221731000005
Citation statistics
Cited Times:32[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorTian, Jie
AffiliationChinese Acad Sci, Inst Automat, Intelligent Bioinformat Syst Div, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Chen, XJ,Tian, J,Cheng, J,et al. Segmentation of fingerprint images using linear classifier[J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING,2004,2004(4):480-494.
APA Chen, XJ,Tian, J,Cheng, J,Yang, X,&Tian, Jie.(2004).Segmentation of fingerprint images using linear classifier.EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING,2004(4),480-494.
MLA Chen, XJ,et al."Segmentation of fingerprint images using linear classifier".EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING 2004.4(2004):480-494.
Files in This Item: Download All
File Name/Size DocType Version Access License
175.EURASIP Journal (3132KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen, XJ]'s Articles
[Tian, J]'s Articles
[Cheng, J]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen, XJ]'s Articles
[Tian, J]'s Articles
[Cheng, J]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen, XJ]'s Articles
[Tian, J]'s Articles
[Cheng, J]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 175.EURASIP Journal on Applied Signal Processing(2004).pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.