[1]ZHAO Huimin,LI Weijun,LIU Yangyang,et al.A low quality fingerprint image enhancement algorithm based on triGaussian filter[J].CAAI Transactions on Intelligent Systems,2012,7(6):489-493.
Copy

A low quality fingerprint image enhancement algorithm based on triGaussian filter

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 6 Page number: 489-493 Column: 学术论文—机器学习 Public date: 2012-12-25
Title:
A low quality fingerprint image enhancement algorithm based on triGaussian filter
Author(s):
ZHAO Huimin1;  LI Weijun1;  LIU Yangyang2;  CHEN Chen1;  CHEN Liang1
1. Laboratory of Artificial Neural Networks, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China;
2. The Institute of OptoElectronics, Chinese Academy of Sciences, Beijing 100094, China
Keywords:
triGaussian model;  fingerprint enhancement;  concentric receptive field;  unilateral filter
CLC:
TP18；TN911.73
DOI:
-
Abstract:
Low quality fingerprint recognition is an allpervading problem of criminal investigation, which asks for extra manual efforts to address. Therefore, the fingerprint image processing method in accordance with human visual characteristics has certain practical value. This paper introduces the triGaussian model of the concentric receptive field to the fingerprint image processing, and proposes a novel image enhancement algorithm especially for lowquality fingerprint image processing. The algorithm goes like this: firstly obtain the perceptual luminance of the neighbouring image by triGaussian unilateral filtering; and then enhance the local contrast of the given fingerprint image. Based on analysis of the ridgevalley alternatedly distributing properties of fingerprint images and the disinhibitory properties of concentric receptive field, we have obtained the adaptive parameter model of triGaussian unilateral filter especially for fingerprint images as well as the local contrast adjustment parameters. The contrast experiments indicate that the proposed method is effective to enhance the global and local luminance, stress the details of dark areas, and especially appropriate to assist the lowquality fingerprint identification.
References:
［1］MALTONI D, MAIO D, JAIN A K, et al. Handbook of fingerprint recognition［M］. 2nd ed. London: SpringerVerlag, 2009: 131133.
［2］HONG L, WAN Y, JAIN A K. Fingerprint image enhancement: algorithms and performance evaluation［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(8): 777789.
［3］KIM B G, PARK D J. Adaptive image normalisation based on block processing for enhancement of fingerprint image［J］. Electronics Letters, 2002, 38(14): 696698.
［4］ZHIXIN S, GOVINDARAJU V. Fingerprint image enhancement based on skin profile. Approximation［C］//Proc Int Conf on Pattern Recognition. Hong Kong, China, 2006, 3: 714717.
［5］GONZALEZ R C, WOODS R E. Digital image processing［M］. 2nd ed. Beijing: Publishing House of Electronics Industry, 2003: 7888.
［6］WIN Z M, SEIN M M. Fingerprint recognition system for low quality images［C］//SICE Annual Conference 2011. Tokyo, Japan, 2011: 11331139. 
［7］AKRAM M U, AYAZ A, IMTIAZ J. Morphological and gradient based fingerprint image segmentation［C］//2011 International Conference on Information and Communication Technologies(ICICT). Karachi, Pakistan, 2011: 14.
［8］MA J, JING X J, ZHANG Y Y. Simple effective fingerprint segmentation algorithm for low quality images［C］//2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (ICBNMT). Beijing, China, 2010: 855859.
［9］GREENBERG S, ALADJEM M, KOGAN D. Fingerprint image enhancement using filtering techniques［J］. RealTime Imaging, 2002, 8(3): 227236.
［10］LI C Y, PEI X. Role of the extensive area outside the xcell receptive field in brightness information transmission［J］. Vision Research, 1991, 31(9): 15291540.
［11］金小贤，李卫军，陈旭，等. 一种基于视觉特性的仿生图像增强算法［J］. 计算机辅助设计与图形学学报, 2010, 22(3): 534537. 
JIN Xiaoxian, LI Weijun, CHEN Xu, et al. Study on biomimetic processing method of face image［J］. Journal of ComputerAided Design and Computer Graphics, 2010, 22(3): 534537.
Similar References:

Memo

-

Last Update: 2013-03-19

Copyright © CAAI Transactions on Intelligent Systems