In this paper, we present a new member of the biometrics family, i.e. nose pores, based on DLPP. Little work has been
done on nose pores as a biometric identifier. In this work, we made use of a database of nose pore images obtained over
a long period to examine the performance of nose pores as a biometric identifier. First, the midpoint and midline were
located and taken as reference for the ROI segmentation after nose image was segmented. Second, nose pore feature was
filtered by LOG filters. Third, the extracted pore was projected to low dimensional space by DLPP. Finally, the feature
in low dimension was classified by Euclidean distance. This research showed that the nose pore is a promising candidate
for biometric identification and deserves further research. The experimental results based on the unique nose pores
database demonstrated that nose pores can give a 91.91% correct recognition rate for biometric identification, which
showed this biometric identifier's feasibility and effectiveness. Compared with result without using DLPP, the feature
extraction by DLPP was more precise.
We present a new member of the biometrics family-i.e., nose pores-which uses particularly interesting properties of nose pores as a basis for noninvasive biometric assessment. The pore distribution on the nose is stable and easily inspected. More important, nose pore distribution features are distinguishable between different persons. Thus, these features can be used for personal identification. However, little work has been done on nose pores as a biometric identifier. We have developed an end-to-end recognition system based on nose pore features. We also made use of a database of nose pore images obtained over a long period to examine the performance of nose pores as a biometric identifier. This research showed that the nose pore is a promising candidate for biometric identification and deserves further research. The experimental results based on the unique nose pores database demonstrated that nose pores can give an 88.07% correct recognition rate for biometric identification, which showed this biometric identifier's feasibility and effectiveness.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.