Reconnecting Broken Ridges in Fingerprint Images

被引:0
作者
Brancati, Nadia [1 ]
Frucci, Maria [1 ]
di Baja, Gabriella Sanniti [1 ]
机构
[1] CNR, Inst Cybernet E Caianiello, I-80125 Naples, Italy
来源
IMAGE ANALYSIS AND PROCESSING - ICIAP 2009, PROCEEDINGS | 2009年 / 5716卷
关键词
ENHANCEMENT; ALGORITHM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present a new method for reconnecting broken ridges in fingerprint images. The method is based on the use of a discrete directional mask and on the standard deviation of the gray-levels to determine ridge direction. The obtained direction map is smoothed by counting the occurrences of the directions in a sufficiently large window. The fingerprint image is, then. binarized and thinned. Linking paths to connect broken ridges are generated by using a morphological transformation to guide the process.
引用
收藏
页码:739 / 747
页数:9
相关论文
共 19 条
[1]  
[Anonymous], THESIS
[2]  
Areekul V, 2005, IEEE IMAGE PROC, P2913
[3]  
Beucher S., 1992, MATH MORPHOLOGY IMAG, P433
[4]  
CANDELA G, 1995, PCASYS PATTERN LEVEL
[5]   Skeletonization algorithm running on path-based distance maps [J].
diBaja, GS ;
Thiel, E .
IMAGE AND VISION COMPUTING, 1996, 14 (01) :47-57
[6]   Fingerprint image enhancement: Algorithm and performance evaluation [J].
Hong, L ;
Wan, YF ;
Jain, A .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1998, 20 (08) :777-789
[7]  
IKONOMOPOULOS A, 1984, P IEEE COMPUT SOC C, P87
[8]   On-line fingerprint verification [J].
Jain, A ;
Hong, L ;
Bolle, R .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (04) :302-314
[9]  
MADHUSOODHANAN P, 2004, IND C COMP VIS GRAPH
[10]  
MEYER F, 1992, IEE CONF PUBL, V354, P303