Abstract
Fast and accurate segmentation of fingerprints is essential to each AFIS (Automatic Fingerprint Identification System). Smudged furrows and cut ridges in the image of a fingerprint is the major problem in any AFIS. This paper investigates a new on-line ridges detection method that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorithm for restoration of the ridges is described. This algorithm is based on unsupervised fuzzy classification technique. With no cost of time, some new features, such as direction of ridges, have been extracted. The accuracy and speed of the proposed method is tested for a large number of fingerprint images with different initial qualities, and is found to be excellent compared to the conventional methods. The results show a significant improvement in identification/verification performance.
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Keywords
- Membership Function
- Fingerprint Image
- Image Segmentation Technique
- Fingerprint Identification
- Noisy Region
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1997 Springer-Verlag Berlin Heidelberg
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Yazdi, M.H.G. (1997). A robust structural fingerprint restoration. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63508-4_166
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DOI: https://doi.org/10.1007/3-540-63508-4_166
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