Paper Info
Title
Fingerprint image enhancement using decimation free directional adaptive mean filtering
Abstract
In this paper we proposed a new enhancement technique that is based on the integration of Decimation Free Directional responses of the Decimation Free Directional Filter Banks (DDFB), adaptive mean filtering and the eigen decomposition of the Hessian matrix. By decomposing the input fingerprint image into decimation free directional images, it is easy to remove the noise directionally by means of adaptive mean filtering and further eigen decomposition of the Hessian matrix was used for the segmentation purpose. As the input fingerprint image is not uniformly illuminated so we have used the bandpass filter for the elimination of non-uniform illumination and for the creation of frequency ridge image before giving it to DDFB. The final enhanced result is constructed on a block-by-block basis by comparing energy of all the directional images and picking one that provides maximum energy.
Year
DOI
Venue
2006
10.1007/11949619_85
ICVGIP
Keywords
Field
DocType
directional image,fingerprint image enhancement,eigen decomposition,hessian matrix,maximum energy,frequency ridge image,decimation free directional filter,bandpass filter,decimation free directional image,decimation free directional adaptive,input fingerprint image,decimation free directional response
Computer vision,Decimation,Computer science,Matrix decomposition,Filter bank,Hessian matrix,Filter (signal processing),Image processing,Artificial intelligence,Adaptive filter,Image restoration
Conference
Volume
ISSN
ISBN
4338
0302-9743
3-540-68301-1
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Muhammad Talal Ibrahim1577.33
Imtiaz A. Taj2307.29
M. Khalid Khan3706.92
Muhammad Aurangzeb Khan4556.92