A scalable approach for fingerprint matching system based on minutiae extraction

Author

Lavanya, K. ; Krishnamoorthi, M.

Author_Institution

Dept. of Comput. Sci. & Eng., Bannari Amman Inst. of Technol., Sathyamangalam, India

fYear

2015

fDate

19-20 March 2015

Firstpage

1

Lastpage

4

Abstract

The finger print matching process, the minutiae detection plays a major role to identify the maximum matching point of the finger print of the input image to train the dataset. The image segmentation is based on the thresholding algorithm. By using the thresholding algorithm, the region of interest area is segmented and then the minutiae of the maximum matching point are detected on the region. The centroid value of each ridge is calculated from the input image and the minutia of each ridge is detected. At finally, the distance between the each ridge is calculated from the image. When the region of interest is segmented from the input image, then the orientation of the rigid surface is calculated for the each surface. These orientations are detected based on the centroid value of the rigid surface as well as the minutia detection of the each rigid surface.

Keywords

fingerprint identification; image matching; image segmentation; fingerprint matching system; image segmentation; maximum matching point; minutiae detection; minutiae extraction; thresholding algorithm; Databases; Fingerprint recognition; Fingers; Graphics processing units; Image matching; Image segmentation; Security; Image segmentation; minutiae; minutiae detection; minutiae matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-6817-6

Type

conf

DOI

10.1109/ICIIECS.2015.7192957

Filename

7192957