Theoretical Approach to Developing Efficient Algorithms of Fingerprint Enhancement

被引：1
|
作者：
Khachay, Mikhail Yu [1 ,2 ]
Pasynkov, Maxim [1 ]
机构：
[1] Krasovsky Inst Math & Mech, 16 S Kovalevskoy St, Ekaterinburg, Russia
[2] Ural Fed Univ, Ekaterinburg, Russia
来源：
ANALYSIS OF IMAGES, SOCIAL NETWORKS AND TEXTS, AIST 2015 | 2015年 / 542卷
关键词：
Fingerprint image enhancement; Orientation field; Poincare index; Model-based approximation; Gabor filter; Holomorphic function; Conformal map; IMAGE-ENHANCEMENT; RIDGE; FIELDS; MODEL;
D O I：
10.1007/978-3-319-26123-2_8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new theoretical approach to construction of efficient algorithms for fingerprint image enhancement is proposed. The approach comprises novel modifications of advanced orientation field estimation techniques such as the method of fingerprint core extraction based on Poincare indexes and model-based smoothing for the gradient-based approximation of an orientation field by Legendre polynomials, and new adaptive Gabor filtering technique based on holomorphic transformations of coordinates.
引用
收藏
页码：83 / 95
页数：13
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