A Computationally Efficient Fingerprint Segmentation Algorithm using Digital Closed Curves

Harmer, Karl and Howells, Gareth and Sheng, Weiguo and Fairhurst, Michael and Deravi, Farzin (2007) A Computationally Efficient Fingerprint Segmentation Algorithm using Digital Closed Curves. In: Proceedings of the 2007 International Conference on Image Processing, Computer Vision, & Pattern Recognition. CSREA. ISBN 978-1-60132-043-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:3821)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.

Item Type:	Book section
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.P3 Pattern recognition systems T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Yiqing Liang
Date Deposited:	24 Jul 2008 09:29 UTC
Last Modified:	05 Nov 2024 09:35 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/3821 (The current URI for this page, for reference purposes)

University of Kent Author Information

Howells, Gareth.

Creator's ORCID:	https://orcid.org/0000-0001-5590-0880
CReDIT Contributor Roles:

Sheng, Weiguo.

Creator's ORCID:
CReDIT Contributor Roles:

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:

Deravi, Farzin.

Creator's ORCID:	https://orcid.org/0000-0003-0885-437X
CReDIT Contributor Roles:

Depositors only (login required):

Download Statistics

Total unique views for this document in KAR since July 2020. For more details click on the image.