A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method
- Title
- A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method
- Author
- 이동호
- Issue Date
- 2020-05
- Publisher
- HINDAWI LTD
- Citation
- SCIENTIFIC PROGRAMMING, v. 2020, Article no. 9758049, 10pp
- Abstract
- 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. ,is 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.
- URI
- http://eds.a.ebscohost.com/eds/detail/detail?vid=0&sid=729db5a0-887c-490f-8478-efa298c4b52e%40sessionmgr4008&bdata=Jmxhbmc9a28mc2l0ZT1lZHMtbGl2ZQ%3d%3d#AN=143229854&db=a9hhttps://repository.hanyang.ac.kr/handle/20.500.11754/163507
- ISSN
- 1058-9244
- DOI
- 10.1155/2020/9758049
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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