An Empirical Study on Fingerprint Image Enhancement Using Filtering Techniques and Minutiae Extraction

被引：0
|
作者：
Priyadarshini, J. Shiny [1 ]
Gladis, D. [2 ]
机构：
[1] Madras Christian Coll, Madras 600059, Tamil Nadu, India
[2] Presidency Coll, Madras 600005, Tamil Nadu, India
来源：
PROCEEDINGS OF 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND APPLICATIONS | 2017年 / 467卷
关键词：
Fingerprint; Lucy-Richardson; Wiener; Unsharp;
D O I：
10.1007/978-981-10-1645-5_20
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The uniqueness of fingerprint provides a secured personal identification mark. Contact less acquisition of fingerprints is gaining popularity due to the ease in capturing the image. They can be easily blurred with noise and distortion. This paper defines filtering techniques in removal of noise and distortion from the blurred images. The paper highlights double enhancing method for image clarity and extraction of true minutiae points which are tabulated and analyzed.
引用
收藏
页码：231 / 239
页数：9
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