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Segmentation of fingerprint images based on bi-level processing using fuzzy rules
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.ORCID-id: 0000-0002-1429-2345
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.ORCID-id: 0000-0001-6526-6537
2012 (Engelska)Ingår i: Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American, 2012, s. 1-6Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This paper presents a new approach to segment low quality fingerprint images which are collected by low quality fingerprint readers. Images collected using such readers are easy to collect but difficult to segment. The proposed approach is based on combining global and local processing to achieve segmentation of fingerprint images. On the global level, the fingerprint is located and extracted from the rest of the image by using a global thresholding followed by dilation and edge detection of the largest object in the image. On the local level, fingerprint's foreground and its border image are treated using different fuzzy rules which the two images are segmented. These rules are based on the mean and variance of the block under consideration. The approach is implemented in three stages; preprocessing, segmentation, and post-processing. Segmentation of 100 images was performed and compared with manual examinations by human experts. The experiments showed that 96% of images under test are correctly segmented. The results from the quality of segmentation test revealed that the average error in block segmentation was 2.84% and the false positive and false negatives were approximately 1.4%. This indicates the high robustness of the proposed approach.

Ort, förlag, år, upplaga, sidor
2012. s. 1-6
Nyckelord [en]
fingerprints, segmentation, fuzzy rules
Nationell ämneskategori
Signalbehandling
Forskningsämne
Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - transporter
Identifikatorer
URN: urn:nbn:se:du-10812DOI: 10.1109/NAFIPS.2012.6291058ISBN: 978-1-4673-2336-9 (tryckt)OAI: oai:DiVA.org:du-10812DiVA, id: diva2:556543
Konferens
2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012; Berkeley, CA; United States; 6 August 2012 through 8 August 2012;
Tillgänglig från: 2012-09-25 Skapad: 2012-09-25 Senast uppdaterad: 2016-02-12Bibliografiskt granskad

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Fleyeh, HasanJomaa, Diala

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