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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Arumugaperumal, S. Sivagami, B. Kumar, K.P. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of ComputerScience, S.T. Hindu College, Nagercoil, India (Arumugaperumal, S.; Sivagami, B.; Kumar, K.P.) |
| Abstract | Minutiae extraction for automatic Fingerprint identification system is one of the most important steps however, the performance of minutiae extraction relies heavily on an enhancement algorithm. There are a lot of things that affect the quality of the fingerprint; one of them is scratches occurred in the fingerprint. Scratches generate the cutting in ridges. This affects the performance of the minutiae extraction. There are many algorithms for fingerprint enhancement, but very limited papers considering the enhancement by scratch removal in the fingerprint. In this paper we present a new effective method for making scratch free fingers. This proposed method can be used to detect and reduce the scratches in the fingerprint. The power of the proposed method is made by morphological operations and inpaint operations. Morphology concepts are used to detect the scratches and exemplar inpaint method is used to fill the scratched locations. Experimental results show a significant improvement of the fingerprint enhancement in the scratch-affected — area. |
| Starting Page | 196 |
| Ending Page | 200 |
| File Size | 377179 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424486786 |
| e-ISBN | 9781424486793 |
| DOI | 10.1109/ICECTECH.2011.5941886 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-08 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | binarization inpaint Filtering Image matching Fingers Scar Detection Fingerprint recognition Feature extraction Image restoration Pixel |
| Content Type | Text |
| Resource Type | Article |
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