Estimation of the directional field anisotropy based on Mohr´s Circle in fingerprint images

Author

Petrovici, Adina ; Lazar, Corneliu

Author_Institution

Autom. Control & Appl. Inf. Dept., Tech. Univ. Gheorghe Asachi of Iasi, Iasi, Romania

fYear

2011

fDate

25-27 Aug. 2011

Firstpage

323

Lastpage

326

Abstract

Traditional gradient based methods are used for the estimation of directional field anisotropy and the associated values called coherence/strength that denote the consistency of the orientation. Using a geometric interpretation of Mohr´s Circle, a new method is proposed to estimate the directional field anisotropy and a new indicator called uniformity is introduced. Starting from the autocovariance 2×2 symmetric matrix, eigenvalues are computed and yield the new measure for anisotropy.

Keywords

covariance matrices; eigenvalues and eigenfunctions; fingerprint identification; gradient methods; Mohr´s circle; autocovariance symmetric matrix; coherence value; directional field anisotropy estimation; eigenvalues; fingerprint image processing; gradient based method; orientation consistency; Anisotropic magnetoresistance; Coherence; Eigenvalues and eigenfunctions; Estimation; Feature extraction; Fingerprint recognition; Symmetric matrices; Fingerprint image processing; coherence; directional field; eigenvalues; orientation estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computer Communication and Processing (ICCP), 2011 IEEE International Conference on

Conference_Location

Cluj-Napoca

Print_ISBN

978-1-4577-1479-5

Electronic_ISBN

978-1-4577-1481-8

Type

conf

DOI

10.1109/ICCP.2011.6047889

Filename

6047889