scholarly journals Fingerprint Image Enhancement Algorithm Based on Two Dimension EMD and Gabor Filter

2012 ◽  
Vol 29 ◽  
pp. 1840-1844 ◽  
Author(s):  
Qihong Ye ◽  
Ming Xiang ◽  
Zhendong Cui
Keyword(s):  
Image Enhancement ◽  
Gabor Filter ◽  
Fingerprint Image ◽  
Two Dimension ◽  
Fingerprint Image Enhancement ◽  
Enhancement Algorithm

scholarly journals Influence of Skin Diseases on Fingerprint Recognition

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Martin Drahansky ◽  
Michal Dolezel ◽  
Jaroslav Urbanek ◽  
Eva Brezinova ◽  
Tai-hoon Kim
Keyword(s):  
Image Enhancement ◽  
Strong Influence ◽  
Skin Diseases ◽  
Point Of View ◽  
Fingerprint Recognition ◽  
Fingerprint Image ◽  
Fingerprint Image Enhancement ◽  
Electronic Sensors ◽  
Enhancement Algorithm

There are many people who suffer from some of the skin diseases. These diseases have a strong influence on the process of fingerprint recognition. People with fingerprint diseases are unable to use fingerprint scanners, which is discriminating for them, since they are not allowed to use their fingerprints for the authentication purposes. First in this paper the various diseases, which might influence functionality of the fingerprint-based systems, are introduced, mainly from the medical point of view. This overview is followed by some examples of diseased finger fingerprints, acquired both from dactyloscopic card and electronic sensors. At the end of this paper the proposed fingerprint image enhancement algorithm is described.

Analysis of Fingerprint Image Enhancement using Gabor Filtering with Different Orientation Field Values

2017 ◽  
Vol 5 (2) ◽  
pp. 427
Author(s):  
Pakutharivu P ◽  
Srinath M. V
Keyword(s):  
Image Enhancement ◽  
Gabor Filter ◽  
Orientation Angle ◽  
Input Image ◽  
False Identification ◽  
Gabor Filtering ◽  
Orientation Field ◽  
Fingerprint Image ◽  
Frequency Components ◽  
Fingerprint Image Enhancement

<p>Fingerprint image enhancement is the key process in IAFIS systems.  In order to reduce false identification ratio and to supply good fingerprint images to IAFIS systems for exact identification, fingerprint images are generally enhanced.  A filtering process tries to filter out the noise from the input image, and emphasize on low, high and directional spatial frequency components of an image.  This paper presents an experimental summary of enhancing fingerprint images using Gabor filters.  Frequency, width and window domain filter ranges are fixed. The orientation angle alone is modified by 0 radians, ,   and  radians. The experimental results show that Gabor filter enhances the fingerprint image in a better way than other filtering methods and extracts features. </p>

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