Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/2475
Title: A fuzzy C-Means algorithm for fingerprint segmentation
Authors: Ferreira, Pedro M.
Sequeira, Ana F.
Rebelo, Ana
Keywords: Fingerprint segmentation
Fuzzy C-means clustering
Morphological processing
Issue Date: 2015
Citation: Ferreira, P., Sequeira, A., Rebelo, A. (2015). A fuzzy C-Means algorithm for fingerprint segmentation. In Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Santiago de Compostela, Spain, 2015. doi: 10.1007/978-3-319-19390-8n. Disponível no Repositório UPT, http://hdl.handle.net/11328/2475
Abstract: Fingerprint segmentation is a crucial step of an automatic fingerprint identification system, since an accurate segmentation promote both the elimination of spurious minutiae close to the foreground boundaries and the reduction of the computation time of the following steps. In this paper, a new, and more robust fingerprint segmentation algorithm is proposed. The main novelty is the introduction of a more robust binarization process in the framework, mainly based on the fuzzy C-means clustering algorithm. Experimental results demonstrate significant benchmark progress on three existing FVC datasets.
URI: http://hdl.handle.net/11328/2475
Appears in Collections:IJP - Comunicações a Congressos Internacionais / Papers in International Meetings

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