Integrating Fingerprint Biometrics System into the Military Police Database: The Case of Zambia Army

Kalunga, Joseph (2015) Integrating Fingerprint Biometrics System into the Military Police Database: The Case of Zambia Army. Masters thesis, University of Zambia.

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Abstract

This research was conducted so as to investigate the design and development of security applications that integrate fingerprint biometrics system into the military police database for the purpose of improving security in Military organisation. The research opposes manual procedures and modernises military police operations in that fingerprint biometrics authentication systems is incorporated into military police database. Biometric system for human identity authentication is more secure and accuracy as compared to the traditional token based system (access control or Identity Card) method of identification. The study was conducted at Zambia Army Headquarters Military Police Unit in Lusaka Zambia. Prior to the system development, data was collected through unstructured interviews, record inspection and observation. Additionally, other requirements were collected through relevant literature review. After data collection, software requirements were specified; analysed, designed and application was developed using visual studio 2010 on DotNet framework 4.0 with C# object oriented programming language. The backend database used was MySQL relational database management system (RDMBS). The research produced a number of key results including the development of biometric security layer that is able to identify and verify the identity of an individual using enrolled fingerprint template. Other results include the ability to capture service personel data, storage, retrieval and dissemination of information. The developed application performance was evaluated by enrolled ten fingerprints and captured related individual personal information. In each three experiments of enrolled ten fingerprints, the biometric module verified all the thirty fingerprints. Therefore, a biometric error allowance rate of 0.001 percent False Acceptance Rate (FAR) and 0.001 percent False Rejection Rate (FRR) was given. In conclusion, we can describe security as layered and can be improved by introducing biometric human identity authentication. Biometric security layer enhances human identity recognition. Human identity recognition is an essential component of security provision in any organisation. Furthermore, the study shows an integration of fingerprint biometric system into traditional database application is possible and can alleviate problems associated with the manual security procedures.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
U Military Science > U Military Science (General)
Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions: Africana
Depositing User: Geoffrey Obatsa
Date Deposited: 13 Dec 2018 10:35
Last Modified: 13 Dec 2018 10:35
URI: http://thesisbank.jhia.ac.ke/id/eprint/8749

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