Classification and recognition of fingerprints using Self Organising Maps (SOMs)
| dc.contributor.author | Gyimah, Mavis Sarah | |
| dc.date.accessioned | 2016-07-26T09:55:58Z | |
| dc.date.accessioned | 2023-04-19T22:54:19Z | |
| dc.date.available | 2016-07-26T09:55:58Z | |
| dc.date.available | 2023-04-19T22:54:19Z | |
| dc.date.issued | 2014-06-26 | |
| dc.description | A thesis submitted to the Department of Computer Science, Kwame Nkrumah University of Science and Technology in partial fulfillment for the degree of Master of Philosophy in Information Technology, 2014. | en_US |
| dc.description.abstract | Feature extraction and matching are important in automatic fingerprint identification systems (AFIS). Fingerprints have been used in forensic as well as commercial applications for identification as well as verification... | en_US |
| dc.description.sponsorship | KNUST | en_US |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/8873 | |
| dc.language.iso | en | en_US |
| dc.title | Classification and recognition of fingerprints using Self Organising Maps (SOMs) | en_US |
| dc.type | Thesis | en_US |
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