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Developed Fingerprint Segmentation Technique based on Mean and Variance Intensity Thresholding

Article scientifique 2016 Anglais

Résumé

Fingerprint segmentation is a preprocessing stage in the fingerprint recognition system. It is used to prevent the extraction of false features in the background or the low quality parts in the foreground (fingerprint area). Besides, it reduces the execution time of the recognition by considering only the region of interest. It is often preferred using simplified segmentation techniques to build the recognition systems. The most popular one is the variance based thresholding. This method has been developed in this paper through making it more robust while maintain the simplicity of design. It is proven to act more reliable in case of bad images.

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Bahgat, G., Hefnawy, A., Khalil, A., Kader, N., Mashali, S. (2016). Developed Fingerprint Segmentation Technique based on Mean and Variance Intensity Thresholding. https://doi.org/10.12792/iciae2016.047

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Auteur(s)

G.A. Bahgat Alaa A. Hefnawy A.H. Khalil N.S. Abdel Kader Samia A. Mashali

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