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香港理工大学高分辨率的指纹(HRF) 数据库(The
Hong Kong Polytechnic University
(PolyU)High-Resolution-Fingerprint (HRF)
Database)
数据介绍:
Fingerprint is the most widely used biometric characteristic for
personal identification because of its uniqueness and stability over time.
Most of the existing automatic fingerprint recognition systems (AFRS)
use the minutia features on fingerprints, i.e. the terminations and
bifurcations of fingerprint ridges, for recognition. Although they can
achieve good recognition accuracy and have been used in many civil
applications, their performance still needs much improvement when a
large population is involved or a high security level is required. One
solution to enhancing the accuracy of AFRS is to employ more features
on fingerprints other than only minutiae. Fingerprint additional features,
such as pores, dots and incipient ridges (see Fig. 1 for examples), are
routinely used by experts in manual latent fingerprint matching. Some of
these additional features, e.g. pores, require high resolution fingerprint
images to reliably capture them. Thanks to the distinctiveness of these
fingerpr
关键词:
高分辨率的指纹,香港理工大学,UGC/CRC,
High-Resolution-Fingerprint,PolyU,UGC/CRC,
数据格式:
IMAGE
数据详细介绍:
The Hong Kong Polytechnic University (PolyU)
High-Resolution-Fingerprint (HRF) Database
Overview:
Fingerprint is the most widely used biometric characteristic for personal
identification because of its uniqueness and stability over time. Most of the
existing automatic fingerprint recognition systems (AFRS) use the minutia
features on fingerprints, i.e. the terminations and bifurcations of fingerprint
ridges, for recognition. Although they can achieve good recognition accuracy
and have been used in many civil applications, their performance still needs
much improvement when a large population is involve
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