A hybrid algorithm for fingerprint enhancement
Autor: | Fatma G. Hashad, Salaheldin M. Diab, Tadros M. Halim, B. M. Sallam |
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Rok vydání: | 2009 |
Předmět: |
business.industry
Computer science Noise reduction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Pattern recognition Mathematical morphology Fingerprint recognition Hybrid algorithm Set (abstract data type) Fingerprint Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence Noise (video) business |
Zdroj: | 2009 International Conference on Computer Engineering & Systems. |
DOI: | 10.1109/icces.2009.5383311 |
Popis: | Quality enhancement of fingerprint images is important for a good performance of Automatic Fingerprint Identification System (AFIS). In this paper, a hybrid fingerprint enhancement algorithm is presented. This algorithm is based on morphological enhancement in the additive wavelet transform domain and Wave Atom denoising. The performance of the proposed algorithm has been evaluated on a set of images. The results are compared with the results obtained using morphological enhancement, only. Our proposed algorithm has given a better performance than using morphological enhancement, only. |
Databáze: | OpenAIRE |
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