Acceptability Survey of Biometric-Based Authentication System

Purpose: This paper examined the existing literature to identify the weaknesses of password authentication, examined the biometric technologies and their applications in authentication, analysed the acceptability level of adoption in enhancing biometric access in Kenya and finally a model was developed that combined the benefit of multi-factor authentication.

Design/methodology/approach: The available literature on biometric technologies and passwords was reviewed. Based on this literature a questionnaire was designed and used to collect relevant data for this research. The sample population was purposefully selected and quantitatively analysed using statistical tools

Findings: A total of 40 questionnaires were issued out, only 30 were returned and were used for the analysis. From the analysis the probability that the password can be lost, forgotten and lend out at the same time was 0.2.This proved that password authentication is weak. The sample error of multi-factor biometric technologies was 0.2 for the eye, face and hand geometry.

Research limitations/implications: The research was conducted at a private university. More than half of the responded had not had about biometric technologies. 100% of the respondents had not seen nor used any biometric system. Therefore research should be done to investigate extend to which errors may injure or damage the personal identification using the multi-modal technologies. Research should also be done to determine the effectiveness of the existing hardware architecture to hold biometric data, examine their efficiency and speed

Originality/value: From the analysis of the findings, a multi-factor biometric based model was designed that combine the benefits of the eye, face and hand geometry authentication as the most secure biometric based authentication system. The model that use data collected from a private university in developing country has never been developed.

Keywords: Biometrics, Acceptability, Fingerprint, Authentication, Password.


Abanti, C. (2010) Acceptability Survey of Biometric-Based Authentication System, Anthology of Abstracts of the 3rd International Conference on ICT for Africa, March 25-27, Yaoundé, Cameroon. Baton Rouge, LA: International Center for IT and Development.

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