Title: Fingerprint Alignment Based on Local Feature Combined with Affine Geometric Invariant
Authors: Pintavirooj, Chuchart
Cohen, Fernand S.
Iampa, Woranut
Citation: WSCG 2010: Communication Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 173-178.
Issue Date: 2010
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Short-proceedings.pdf
ISBN: 978-80-86943-87-9
Keywords: zpracování otisků prstů;geometrický invariant;Delaunayova triangulace
Keywords in different language: fingerprints processing;geometric invariant;Delaunay triangulation
Abstract: In this paper we introduce a novel method of fingerprint alignment that uses the intrinsic geometric properties of minutiae-based triangles combined with the geometric invariant. The minutiae points are extracted from the fingerprint image and a Delaunay (DL) triangulation is constructed from these minutiae points resulting in a series of triangles. Corresponding minutiae points are established using local affine invariants constructed from the local minutia-based triangles. Triangles that are distorted by noise or have no counter part on the query are discarded. We rely only on “strong” matches that are reliable and present, for example, where the error metric between the local absolute invariants is below a set threshold. The correspondences of such matches are then used to estimate transformation parameters. The performance of our method is represented by computing the distance map error between a template and a query fingerprint after undoing the transformation, computed from the ridge structures of the two fingerprints. In conclusion, the proposed method can be used to find the corresponding minutiae and align any fingerprints considered into affine transformation, in the presence of noise including the partial occlusion.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2010: Communication Papers Proceedings

Files in This Item:
File Description SizeFormat 
Pintavirooj.pdfPlný text668,04 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11072

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