| 000 -LEADER |
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| fixed length control field |
02640nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
FT8779 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251111102747.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251111b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
T58.4 P33 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Padlan, Wilton John B.; Tan, Luis Danile |
| 245 ## - TITLE STATEMENT |
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| Title |
Valid: Fraud detection mobile application for government identity cards using optical character recognition and SHA-256 algorithm for data application |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Other physical details |
Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE |
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| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
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| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: Government-issued identification (ID) cards are essential for verifying individuals identities and granting access to various services. However, the increasing prevalence of ID-related fraud poses serious security challenges. This study presents ValID: A Fraud Detection Mobile Application for Government Identity Cards, which integrates Optical Character Recognition (OCR) for accurate text extraction and the Secure Hash Algorithm-256 (SHA-256) for preserving data integrity. Developed using the Agile Software Development Life Cycle (SDLC), the system showed 100% OCR accuracy in normal scanning conditions, ensuring reliable text recognition. Yet, under difficult scenarios such as handwritten, smudge, or blurry ID, the system’s OCR failed to extract data effectively, resulting in 0% accuracy. It also struggled with varying font styles and sizes, producing an average Character Error Rate (CER) of 64.25%, indicating a need for further enhancement in processing diverse formats. To support transparency and accountability, ValID includes an audit log feature that records all transactions. Meanwhile, SHA-256 ensures data protection by converting user inputs, like passwords, into complex hash values. For instance, a basic password such as “1234” is transformed into an irreversible alphanumeric string, safeguarding it from unauthorized access and tampering. Despite its promising results, ValID still has room for improvement. Future enhancements may include incorporating convolutional neural networks (CNNs) for more effective fraud detection, enabling real-time alerts for suspicious activity, and adding features like multi-factor authentication (MFA). Overall, ValID delivers a secure and efficient tool for combating government ID fraud, reinforcing trust in identity verification systems. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |