DocumentCode
3244759
Title
A review of fingerprint pre-processing using a mobile phone
Author
Khalil, Mohammed S. ; Wan, F.K.
Author_Institution
Center of Excellence in Inf. Assurance, King Saud Univ., Riyadh, Saudi Arabia
fYear
2012
fDate
15-17 July 2012
Firstpage
152
Lastpage
157
Abstract
Nowadays, the mobile phones are becoming part of our daily life. They transformed from communication devices to personal computers. They are capable of storing personal information and connect to other applications where security is required. The need for securing the confidential information and the other application is increasing every day. Fingerprint authentication has been used in many different applications where high security is required. Mobile phones can process a lot of tasks and equipped with a built in camera capable of capturing images. A fingerprint authentication approach can successfully utilize the mobile phone cameras capturing fingerprint images as biometrie traits. Unfortunately, the quality of images produced by mobile phone is very different from the images obtained by dedicated fingerprint sensors during the acquisition of human fingertips. In this paper, we present the current trend in fingerprint pre-processing techniques using mobile phones and explore some of the future possibilities in this field.
Keywords
cameras; fingerprint identification; mobile handsets; security of data; biometric traits; confidential information security; fingerprint authentication approach; fingerprint preprocessing technique; fingerprint sensors; human fingertip acquisition; mobile phone cameras; Authentication; Cameras; Feature extraction; Fingerprint recognition; Image color analysis; Image matching; Mobile handsets; Biometrie; Camera; Fingerprint; Mobile phone; Review;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location
Xian
ISSN
2158-5695
Print_ISBN
978-1-4673-1534-0
Type
conf
DOI
10.1109/ICWAPR.2012.6294770
Filename
6294770
Link To Document