NDLI: Fingerprint liveness detection based on guided filtering and hybrid image analysis

Content Provider	IET Digital Library
Author	Tan, Guanghua Zhang, Qiong Hu, Haiyang Zhu, Xianyi Wu, Xiangqiong
Abstract	Fingerprints are widely used for biometric recognition. However, many spoofing attacks based on an artificially made fingerprint occur. In this study, the authors propose an approach to detect fingerprint liveness which uses the guided filtering and hybrid image analysis. This study deals with the problem of ignoring the contribution that is brought by the sharp features when analysing the denoised image. The method described utilises both the enhanced sharp features and denoised features from the hybrid images to get better results. The input fingerprint is pre-processed by region of interest extraction and then is filtered by a guidance image for obtaining the denoised image. Then, histogram equalisation is introduced to eliminate the impact of illumination condition. The authors extract the co-occurrence of adjacent local binary pattern features from both the cropped images and the denoised images. Whilst concatenating both the features together to form a long feature, t-Distributed Stochastic Neighbour Embedding is applied to reduce the data dimension. The authors consider the fingerprint liveness detection as a two-class classification problem and use support vector machine with radial basis function kernel to solve this problem. The authors evaluate the experiments on three benchmark data sets. Experimental results demonstrate that the accuracy of the proposed method can outperform most of the state-of-art methods.
Starting Page	1710
Ending Page	1715
Page Count	6
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 9, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5915
Journal	IET Image Processing
Publisher Date	2020-01-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adjacent Local Binary Pattern Features Artificially Made Fingerprint Biometric Recognition Computer Vision And Image Processing Technique Cropped Image Data Dimension Reduction Denoised Image Enhanced Sharp Feature Feature Extraction Filtering Method in Signal Processing Fingerprint Identification Fingerprint Liveness Detection Guidance Image Guided Filtering Histogram Equalisation Hybrid Image Analysis Illumination Condition Image Classification Image Denoising Image Filtering Image Recognition Input Fingerprint Preprocessing Knowledge Engineering Technique Neural Computing Technique Radial Basis Function Kernel Radial Basis Function Network Region of Interest Extraction Spoofing Attack Statistics Stochastic Linearised SCUC Support Vector Machine T-distributed Stochastic Neighbour Embedding Two-class Classification Problem
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Local accumulated smoothing patterns for fingerprint liveness detection

Fingerprint liveness detection using local texture features

Face liveness detection: fusing colour texture feature and deep feature

Rapid contour detection for image classification

Classification of EEG signals for detection of epileptic seizure activities based on feature extraction from brain maps using image processing algorithms

Minutiae extraction and pruning based fingerprint identification with pattern classification by radial basis function.

Robust fingerprint classification with Bayesian convolutional networks

A study of liveness detection in fingerprint and iris recognition systems using image quality assessment

Research on fingerprint classification based on twin support vector machine

Fingerprint liveness detection based on guided filtering and hybrid image analysis

Similar Documents

Local accumulated smoothing patterns for fingerprint liveness detection

Fingerprint liveness detection using local texture features

Face liveness detection: fusing colour texture feature and deep feature

Rapid contour detection for image classification

Classification of EEG signals for detection of epileptic seizure activities based on feature extraction from brain maps using image processing algorithms

Minutiae extraction and pruning based fingerprint identification with pattern classification by radial basis function.

Robust fingerprint classification with Bayesian convolutional networks

A study of liveness detection in fingerprint and iris recognition systems using image quality assessment

Research on fingerprint classification based on twin support vector machine

Fingerprint liveness detection based on guided filtering and hybrid image analysis