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