Augustina Dede Agor
Investigator, National Identification Authority, P. O. Box M680, Accra, Ghana
Afis Fingerprints Quality Assessment Using Self-organizing Maps
The biometric method, Automated Fingerprints Identification System (AFIS), is widely used to manage fingerprints and identify people. The identification performance of an AFIS is very sensitive to the quality of the captured fingerprint image. In this paper, the researcher performs an assessment of the quality of fingerprints in AFIS using Self-Organizing Maps (SOM). Biometric data (thumb and index fingerprints of

Augustina Dede Agor
Investigator, National Identification Authority, P. O. Box M680, Accra, Ghana
Demographics That Significantly Influence Fingerprints Quality In Afis
Research in the domain of Automated Fingerprints Identification Systems (AFIS) is advancing speedily. This study investigates the demographics that significantly influence the quality of fingerprints in AFIS of National Identification System (NIS) of Ghana. Demographics comprised of gender, date of birth (which was converted to age), region of birth, the region of residence and employment status of some hundred (100)

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