ABSTRACT

Automatic Fingerprint Matching Using Extended Feature Set   [open pdf - 3MB]

"Fingerprint friction ridge features are generally described in a hierarchical order at three different levels, namely, Level 1 (ridge flow), Level 2 (minutiae points) and Level 3 (pores and ridge shape, etc.). Current Automated Fingerprint Identification Systems (AFIS) generally rely only on a subset of Level 1 and Level 2 features (minutiae and core/delta) for matching. On the other hand, latent print examiners frequently take advantage of a much richer set of features naturally occurring in fingerprints. It is believed that this difference may be one of the reasons for the superior performance of fingerprint examiners over AFIS, particularly in case of difficult latent matches. Fingerprint features, other than minutiae and core/delta, are also referred to as the extended feature set (EFS). The goal of this study is to i) develop algorithms for encoding and matching extended features, ii) develop fusion algorithms to combine extended features with minutiae information to improve fingerprint matching accuracy, and iii) understand the contributions of various extended features in latent fingerprint matching."

Report Number:
Document No. 235577
Author:
Publisher:
Date:
2011-08-18
Copyright:
Public Domain
Retrieved From:
National Criminal Justice Reference Service: https://www.ncjrs.gov/
Format:
pdf
Media Type:
application/pdf
URL:
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