Multi-scale dictionaries based fingerprint orientation field estimation

2016 ◽  
Author(s):  
Chunjie Chen ◽  
Jianjiang Feng ◽  
Jie Zhou
Keyword(s):  
Orientation Field ◽  
Multi Scale ◽  
Field Estimation

Multi-scale anatomical awareness improves the accuracy of the real-time electric field estimation

2021 ◽  
Author(s):  
Liang Ma ◽  
Gangliang Zhong ◽  
Zhengyi Yang ◽  
Linzhong Fan ◽  
Tianzi Jiang
Keyword(s):  
Electric Field ◽  
Real Time ◽  
The Real ◽  
Multi Scale ◽  
Field Estimation

A WAVELET-BASED APPROACH TO RIDGE THINNING IN FINGERPRINT IMAGES

2005 ◽  
Vol 19 (05) ◽  
pp. 631-645 ◽  
Author(s):  
XINGE YOU ◽  
BIN FANG ◽  
YUAN YAN TANG ◽  
ZHENYU HE
Keyword(s):  
Poor Quality ◽  
Automatic Recognition ◽  
Wavelet Function ◽  
Fingerprint Recognition ◽  
Global Feature ◽  
Orientation Field ◽  
Fingerprint Image ◽  
Thinning Algorithm ◽  
Multi Scale ◽  
Effectiveness And Efficiency

As a global feature of fingerprints, the thinning of ridges, extraction of minutiae and computation of orientation field are very important for automatic fingerprint recognition. Many algorithms have been proposed for their computation and estimation, but their results are unsatisfactory, especially for poor quality fingerprint images. In this paper, a robust wavelet-based method to create thinned ridge map of fingerprint for automatic recognition is proposed. Properties of modulus minima based on the spline wavelet function are substantially investigated. Desirable characteristics show that this method is suitable to describe the skeleton of the ridge of the fingerprint image. A multi-scale thinning algorithm based on the modulus minima of wavelet transform is presented. The proposed algorithm is able to improve the skeleton representation of the ridge of the fingerprint without side-effects and limitations of the existing methods. The thinned ridge map can facilitate the extraction of the minutiae for matching in fingerprint recognition. Experiments have been conducted to validate the effectiveness and efficiency of the proposed method.

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