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Fingerprint Recognition – Neural Networks

Fingerprint Recognition – Neural Networks. Bibek Raj Aryal 09 BIM 009. Fingerprint ???. Unique Unchangeable Alike Probability: 1.9 x 10^15. Fingerprint Significance. Process …. Image Acquisition: method to acquire fingerprints Inked / inkless scanners. Process …. Edge detection:

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Fingerprint Recognition – Neural Networks

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  1. FingerprintRecognition – Neural Networks Bibek Raj Aryal 09 BIM 009

  2. Fingerprint ??? Unique Unchangeable Alike Probability: 1.9 x 10^15

  3. Fingerprint Significance

  4. Process … • Image Acquisition: • method to acquire fingerprints • Inked / inkless scanners

  5. Process … • Edge detection: • Boundary between two regions

  6. Process … • Thinning • Skeletonizing • Reduce it to graph or plane figure

  7. Process … Feature Extractor: tented arc right loop left loop whorl

  8. Process … • A • Classifier • Minutiae binary (raw) image • Store in a database

  9. Neural Network ??? Interconnected neurons Human brain

  10. Artificial Neural Network ???(AAN) • Concept developed to simulate/emulate behaviour of brain .. • Why ?? For the recognition of the environment .. • just like our brain does ..

  11. Artificial Neural Network … Sense  Process  Output 

  12. Feed Forward Neural Network • Input:- • External environment patterns • To neurons • Neurons = independent weights (floating types)

  13. Fingerprint Recognition ...

  14. Fingerprint Recognition … Use / Application ???

  15. Conclusion … • Recognition Quality / Effectiveness • Recognition 1 • ----------------------------------------------------------- • Broken lines / noise

  16. References … www.learningartificialnetwork.com www.slideshare.net en.wikipedia.org www.youtube.com/vignesh

  17. Thank You 

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