Minutiae Triplet-based Features with Extended Ridge Information for Determining Sufficiency in Fingerprints

In order to deliver statistical and qualitative backing to latent fingerprint evidence, algorithms are proposed (1) to perform fingerprint matching to aid in quality assessment, and (2) to discover statistically rare features or patterns in fingerprints. These features would help establish an objective minimum-quality baseline for latent prints as well as aid in the latent examination process in making a matching comparison. The proposed methodologies use minutiae triplet-based features in a hierarchical fashion, where not only minutia points are used, but ridge information is used to help establish relations between minutiae. Results show (1) that our triplet-based descriptor is useful in eliminating false matches in the matching algorithm, and (2) that a set of distinctive features can be found that have sufficient discriminatory power to aid in quality assessment.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Department dc:contributor.department

Electrical and Computer Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2011

Author dc:creator

• Hoyle, Kevin

Chair dc:contributor.committeechair

• Hsiao, Michael S.

Committee members dc:contributor.committeemember

• Fox, Edward A.
• Abbott, A. Lynn

• minutia
• sufficiency
• latent
• quality
• fingerprints
• friction ridges
• triangles
• triplets

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

etd-07142011-112818

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/34010