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BRAIN: Efficient Filtering of Noisy Fingerprint Images

Fingerprint identification is an imperative field in the wide space of biometrics with numerous applications, in various zones such as: judicial, cell telephones, access systems, airports.

There are many elaborated algorithms for fingerprint identification, but none of them can guarantee that the results of identification are always 100 % accurate.

Professor Maria Liliana Costin, from Babes-Bolyai University, in Cluj Romania, demonstrates through rigurous research the successful completion of the noisy digital image filtering.

Selection of filtered images with the 9 algorithms and the 2 methods of classification
Selection of filtered images with the 9 algorithms and the 2 methods of classification

(more…)

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