Bondoc, Roan May A.; Dognidon, Donna Elisse B.; Penino, Gene Raynor Z.; Tagnines, Sean Ginzell B.
ATM Biometrics: A fingerprint recognition as an enhanced security system
- Undergraduate Thesis: (Bachelor of Science in Computer Engineering) - Pamantasan ng Lungsod ng Maynila, 2023
ABSTRACT: STATEMENT OF THE PROBLEM: The most recent incidents demonstrate how sophisticated cracking programs were utilized to take money quickly and efficiently from ATM users. Additionally, some individuals who live in the high environment of today are frequently confused by or find it difficult to recall certain members, such as their social security number or credit card number, which can cause a variety of issues. The strength of a PIN as a security measure is compromised it it is written down a small piece of paper or card in anticipation of such an incident, since there is a greater chance that the code will be disclosed to others. ATM Biometrics: A Fingerprint Recognition as an Enhanced Security System must be able to solve the following problems. • Stealing and/or duplication of bank card and identification number that leads to ATM fraud. • Users have to memorize their identification numbers in order to gain access to their accounts. • Unreliable security. • Beyond reach to the elderly and people with disability because of poor memory and a range of physical impairments RESEARCH METHODOLOGY: The researchers devise an alternate method for determining what enables the elderly and people with disabilities (PwD) to withdraw money without the assistance of others. To define the primary concept of the prototype, the researchers employed qualitative method by having an interview with the banks decline the request of the researchers because the topic is confidential, also the researchers employed quantitative testing with the help of questionnaires to the respondents to seek their opinions for emerging biometrics, particularly with the elderly and people with disabilities (PwD). The prototype was tested by three (3) classifications after it was established using the responders ideas and comments. The researchers performed a survey to meet the requirements. In general, the study’s findings were useful to other researchers considering adopting a quantitative technique strategy to a difficult research problem. SUMMARY OF FINDINGS: The research aims to develop a secure ATM prototypes that uses fingerprint biometrics for bank transactions. A survey was conducted using Goggle Forms and personal interviews to gather data. The results were analyzed using SPSS and four hypotheses were tested, with only one variable showing an association with the respondents classification. A prototype was created, but only a small number of respondents were able to test it due to security reasons. During testing, it was found that the fingerprint sensor was too sensitive and sometimes difficult to register in the system. CONCLUSION: The research concluded that integrating biometrics with ATM machines has several potential benefits, including increased security, reliability, and convenience for users. Biometric authentication is more secure and difficult to fake than passwords or PINs. The study found that 66.5% of respondents preferred fingerprints recognition as their biometric system for ATM machines. The results of the survey and statistical analysis suggest that the classification of respondents influences their selection of biometric systems, which should be considered by banks when integrating biometrics into their ATMs. However, the maintenance and cost of biometric systems could be a frequent problem for future researchers.