Local Binary Pattern Face Recognition Loan Recovery System: A Case Study of Nigerian Anchor Borrower Programme


Authors : Musa Samaila; Lawal Muhammad Jabaka; Abubakar Usman Mohammed; Mansur Mohammed

Volume/Issue : Volume 7 - 2022, Issue 12 - December

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3Zg5iKB

DOI : https://doi.org/10.5281/zenodo.7511249

Abstract : Face recognition is the frequently explored subdomain in the domain of image processing. This paper implements an approach for the recovery of Anchor borrowers programme in Nigeria using LBP (Local binary pattern) for feature extraction from the facial region and particular region. Experimental results using this approach was conducted on a farmer’s facial images database and are found to be more promising than existing manual approach.

Keywords : Image processing, local binary pattern, periocular region, Anchor borrowers, database.

Face recognition is the frequently explored subdomain in the domain of image processing. This paper implements an approach for the recovery of Anchor borrowers programme in Nigeria using LBP (Local binary pattern) for feature extraction from the facial region and particular region. Experimental results using this approach was conducted on a farmer’s facial images database and are found to be more promising than existing manual approach.

Keywords : Image processing, local binary pattern, periocular region, Anchor borrowers, database.

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