Possibilistic fuzzy c-means algorithm for fingerprint image

Author

Raghotham, R.G. ; Yugander, P. ; Sheshagiri, B.J. ; Rameshwar, R.R.

Author_Institution

Dept. of Electron. & Commun. Eng., Kakatiya Univ., Warangal, India

fYear

2012

fDate

15-16 March 2012

Firstpage

249

Lastpage

253

Abstract

In this work, we proposed a method for fingerprint image segmentation based on possibilistic fuzzy c-means (PFCM) algorithm with an adaptive level set (ALS) method. In fingerprint recognition system, fingerprint segmentation is an important step. PFCM algorithm is a mixer of possibilistic c-means clustering (PCM) and fuzzy c-means clustering (FCM) algorithm. PFCM overcomes the noise sensitivity defect in FCM and coincident cluster problem in PCM. PFCM was used to generate an initial contour curve for level set method. PFCM algorithm is used to compute the fuzzy membership values of each pixel. Based on the above fuzzy membership values edge indicator function is redefined. By using the edge indicator function fingerprint segmentation was performed to extract the required regions for advance processing. Experimental results of proposed method showed significant improvement in the evolution of the level set function.

Keywords

computational geometry; feature extraction; fingerprint identification; fuzzy set theory; image segmentation; pattern clustering; possibility theory; ALS; PFCM algorithm; adaptive level set method; coincident cluster problem; edge indicator function fingerprint segmentation; fingerprint image segmentation; fingerprint recognition system; fuzzy membership value computation; initial contour curve generation; level set function method; noise sensitivity defect; possibilistic fuzzy c-means clustering algorithm; Bridges; Image recognition; Image segmentation; Mixers; FCM; Image segmentation; PCM; Possibilistic FCM; adaptive level set (ALS) method;

fLanguage

English

Publisher

ieee

Conference_Titel

Devices, Circuits and Systems (ICDCS), 2012 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4577-1545-7

Type

conf

DOI

10.1109/ICDCSyst.2012.6188738

Filename

6188738