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A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method
Joint Authors
Khan, Asif
Khan, Sajid
Lee, Dong-Ho
Waqas, Ahmad
Gilal, Abdul Rehman
Khand, Zahid Hussain
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Fingerprint registration and verification is an active area of research in the field of image processing.
Usually, fingerprints are obtained from sensors; however, there is recent interest in using images of fingers obtained from digital cameras instead of scanners.
An unaddressed issue in the processing of fingerprints extracted from digital images is the angle of the finger during image capture.
To match a fingerprint with 100% accuracy, the angles of the matching features should be similar.
This paper proposes a rotation and scale-invariant decision-making method for the intelligent registration and recognition of fingerprints.
A digital image of a finger is taken as the input and compared with a reference image for derotation.
Derotation is performed by applying binary segmentation on both images, followed by the application of speeded up robust feature (SURF) extraction and then feature matching.
Potential inliers are extracted from matched features by applying the M-estimator.
Matched inlier points are used to form a homography matrix, the difference in the rotation angles of the finger in both the input and reference images is calculated, and finally, derotation is performed.
Input fingerprint features are extracted and compared or stored based on the decision support system required for the situation.
American Psychological Association (APA)
Khan, Sajid& Lee, Dong-Ho& Khan, Asif& Waqas, Ahmad& Gilal, Abdul Rehman& Khand, Zahid Hussain. 2020. A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method. Scientific Programming،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209353
Modern Language Association (MLA)
Khan, Sajid…[et al.]. A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method. Scientific Programming No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1209353
American Medical Association (AMA)
Khan, Sajid& Lee, Dong-Ho& Khan, Asif& Waqas, Ahmad& Gilal, Abdul Rehman& Khand, Zahid Hussain. A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209353
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209353