Proceedings ArticleDOI
Qualifying fingerprint samples captured by smartphone cameras
Bian Yang,Guoqiang Li,Christoph Busch +2 more
- pp 4161-4165
TLDR
The proposed approach's capability of qualifying such quality-challenging fingerprint samples - the Spearman's rank correlation coefficient ρ between the proposed quality metric and samples' normalized comparison scores reaches as high as 0.53 in the authors' experiment.Abstract:
This paper proposes an approach to qualifying fingerprint samples captured by smartphone cameras under real-life scenarios, foreseeing the future application using such general purposed cameras as fingerprint sensors. In this approach, a sample image is first divided into non-overlapping blocks. Then a 7-dimensional feature vector will be formed from the proposed 7 quality features. We use a support vector machine to produce a binary indication for each image block on its quality. Finally a quality score is generated to indicate the whole fingerprint sample's quality by counting the number of qualified blocks in a sample. Experiments demonstrate the proposed approach's capability of qualifying such quality-challenging fingerprint samples - the Spearman's rank correlation coefficient ρ between the proposed quality metric and samples' normalized comparison scores reaches as high as 0.53 in our experiment.read more
Citations
More filters
Journal ArticleDOI
An overview of touchless 2D fingerprint recognition
TL;DR: In this article, the state-of-the-art in the field of touchless 2D fingerprint recognition at each stage of the recognition process is summarized and technical considerations and trade-offs of the presented methods along with open issues and challenges.
Journal ArticleDOI
Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset.
TL;DR: This work proposes a novel contactless capturing device design that is suitable for finger and hand vein image acquisition and is able to acquire palmar finger vein images using light transmission as well as palmar hand veinImages using reflected light.
Proceedings ArticleDOI
Towards touchless pore fingerprint biometrics: A neural approach
TL;DR: This paper proposes the first innovative method in the literature able to extract Level 3 features, in particular sweat pores, from fingerprint images captured with a touchless acquisition using a commercial off-the-shelf camera.
Proceedings ArticleDOI
Image-based attributes of multi-modality image quality for contactless biometric samples
TL;DR: In order to investigate the common framework of biometric sample quality assessment between contactless fingerprint, face, and iris, the commonly used image-based quality attributes for three modalities are reviewed and a refined selection of important ones for the assessment of multi-modality biometric samples quality are proposed.
Proceedings Article
Touchless Fingerprint Sample Quality: Prerequisites for the Applicability of NFIQ2.0
TL;DR: Under constrained capture conditions NFIQ2.0 is found to be an effective tool for touchless fingerprint quality estimation if an adequate preprocessing is applied and the predictive power regarding biometric performance is evaluated using an open source fingerprint recognition system.
References
More filters
Journal ArticleDOI
Fingerprint image enhancement: algorithm and performance evaluation
Lin Hong,Yifei Wan,Anil K. Jain +2 more
TL;DR: A fast fingerprint enhancement algorithm is presented, which can adaptively improve the clarity of ridge and valley structures of input fingerprint images based on the estimated local ridge orientation and frequency.
Directional Field Computation for Fingerprints Based on the Principal Component Analysis of Local Gradients
Asker M. Bazen,Sabih H. Gerez +1 more
TL;DR: In this article, a new method based on principal component analysis (PCA) was proposed to estimate the directional field of a print. But it is not proven that this method provides exactly the same results as the method that is known from literature.
Book ChapterDOI
Fingerprint Recognition with Embedded Cameras on Mobile Phones
TL;DR: A first step towards a novel biometric authentication approach applying cell phone cameras capturing fingerprint images as biometric traits is proposed and shows a biometric performance with an Equal Error Rate of 4.5% by applying a commercial extractor/comparator and without any preproccesing on the images.
Proceedings Article
Fingerphoto recognition with smartphone cameras
TL;DR: The proposed authentication method is analyzed for feasibility and implemented in a prototype as application for the Android operating system, and a biometric database containing photos of the two test devices from 41 test subjects is created.
Proceedings ArticleDOI
Fingerprint Biometrics via Low-cost Sensors and Webcams
Vincenzo Piuri,Fabio Scotti +1 more
TL;DR: New techniques to suitably process the camera images of fingertips in order to produce images which are as similar as possible to the ones coming from dedicated sensors are investigated.
Related Papers (5)
Collecting fingerprints for recognition using mobile phone cameras
Bian Yang,Xue Li,Christoph Busch +2 more