DocumentCode
1578919
Title
Implementation of fingerprint and newborn footprint feature extraction on Raspberry Pi
Author
Sivaranjani, S. ; Sumathi, S.
Author_Institution
Embedded Syst. Technol., Sri Sai Ram Eng. Coll., Chennai, India
fYear
2015
Firstpage
1
Lastpage
6
Abstract
Fingerprint and Footprint verification is an important biometric technique for authentication. In this paper, implementation of feature extraction of fingerprint and footprint in Raspberry pi has been discussed. The raspberry Pi is ARM1176JZFS application processor. It enhances performance, consumes less power, and reduces overall system cost and size. The raspberry Pi is been controlled by a modified version of debian Linux optimized for ARM architecture. The required algorithm for recognizing images for biometric feature extraction is performed using open source OpenCV-2.4.9 in Linux platform using CMake, g++, Makefile. Minutiae extraction for fingerprint and PCA features for footprint using OpenCV is employed. In this paper, review on the feature extraction of fingerprint and footprint recognition has been discussed.
Keywords
Linux; feature extraction; fingerprint identification; microprocessor chips; principal component analysis; ARM architecture; ARM1176JZFS application processor; Linux platform; PCA features; Raspberry pi; authentication; biometric feature extraction; biometric technique; debian Linux; fingerprint verification; footprint verification; open source OpenCV-2.4.9; Feature extraction; Fingerprint recognition; Hardware; Image matching; Libraries; Linux; System-on-chip; ARM1176JZFS; Fingerprint; Footprint; Linux; Minutiae; OpenCV; PCA; Raspberry PI;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-6817-6
Type
conf
DOI
10.1109/ICIIECS.2015.7193087
Filename
7193087
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