DocumentCode :
2440065
Title :
A pitfall in fingerprint features extraction
Author :
Zhang, Peng ; Li, Cai ; Hu, Jiankun
Author_Institution :
Sch. of Comput. Sci. &, Inf. Technol., R. Melbourne Inst. of Technol. Melbourne, Melbourne, VIC, Australia
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
13
Lastpage :
18
Abstract :
In fingerprint feature extraction, it is perceived that pixel-level image rotation transformation is a lossless transformation process. In this paper, investigation has been conducted on analyzing the underlying mechanisms of fingerprint image rotation processing and potential effect on the major features, mainly minutiae and singular point, of the rotation transformed fingerprint. Qualitative and quantitative analysis have been provided based on the intensive experiments. It is observed that the information integrity of the original fingerprint image can be significantly compromised by the image rotation transformation process, which can cause noticeable singular point change and produce non-negligible number of fake minutiae. It is found that the quantization and interpolation process can change the fingerprint features significantly though they may not change the image visually.
Keywords :
feature extraction; fingerprint identification; interpolation; fingerprint features extraction; fingerprint image rotation processing; interpolation process; pixel-level image rotation transformation; quantization process; Algorithm design and analysis; Feature extraction; Fingerprint recognition; Image matching; Interpolation; Pixel; Security; fingerprint features; minutiae; rotation transformation; singular point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
Type :
conf
DOI :
10.1109/ICARCV.2010.5707953
Filename :
5707953
Link To Document :
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