Automatic detection of secondary creases in fingerprints

David St. G. Vernon

doi:10.1117/12.146389

1 October 1993 Automatic detection of secondary creases in fingerprints

David St. G. Vernon

Author Affiliations +

Optical Engineering, Vol. 32, Issue 10, (October 1993). https://doi.org/10.1117/12.146389

Abstract

Human fingerprints comprise a series of whorls or ridges. In some special cases, these whorls are broken by so-called secondary creases-colinear breaks across a sequence of adjacent ridges. It is a working hypothesis that the presence of these secondary creases form a physical marker for certain human disorders. A technique to automatically detect such creases in fingerprints is described. This technique utilizes a combination of spatial filtering and region growing to identify the morphology of the locally fragmented fingerprint image. Regions are then thinned to form a skeletal model of the ridge structure. Creases are characterized by colinear terminations on ridges and are isolated by analyzing the Hough transform space derived from the ridge end points. Empirical results using both synthetic and real data are presented and discussed.

Citation Download Citation

David St. G. Vernon "Automatic detection of secondary creases in fingerprints," Optical Engineering 32(10), (1 October 1993). https://doi.org/10.1117/12.146389

Published: 1 October 1993

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available