Paper Info
Title
Optimum block size detection for image quality measure
Abstract
This work deals with the quality of the image itself as well as the algorithm used for evaluating the quality of the fingerprints to construct an effective algorithm for evaluating the quality of the fingerprints. The quality of the fingerprint is acquired by taking the regional quality of each fingerprint image. The amount of fingerprint varies according to the size of each block which makes the result unsteady. We concentrated on finding the right size for the block used to acquire the fingerprint image. Also, the quality distribution included in the fingerprint image was acquired when the optimal block size was adopted.
Year
DOI
Venue
2004
10.1109/ICPR.2004.1333818
ICPR (4)
Keywords
Field
DocType
fingerprint identification,fingerprint image,effective algorithm,image quality measure,optimal block size,quality distribution,optimum block size detection,right size,fingerprint recognition,regional quality,paper deal,image quality
Block size,Computer vision,Pattern recognition,Fingerprint recognition,Computer science,Image quality,Fingerprint image,Fingerprint,Artificial intelligence
Conference
Volume
ISSN
ISBN
4
1051-4651
0-7695-2128-2
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Young-Bin Kwon16912.38
Jaehwa Park2659.50