La Fila Converter: A file Converter Using Optical Character Recognition Implementing K Nearest Neighbors Algorithm

Abstract: This study was entitled La Fila Converter: A file converting system using Optical Character Recognition (OCR) implementing K-Nearest Neighbours Algorithm. The purpose of this study is to implement an existing algorithm under Optical Character Recognition that uses patterns to perform converting of a file. The fact that humans have a higher demand in file converting applications is the reason why this study was conducted. Computers don’t have eyes to read just like human do, they use pattern recognition to read characters. Using K-Nearest Neighbours Algorithm will help the system to be more accurate and consistent in recognizing text characters. Incremental Software Methodology was utilized for the development of the study. Functional and Conformance Test are used as testing instruments. The evaluation criteria were based on ISO 9126-1 software quality standard. The result of the system evaluation showed that the developed system is highly acceptable with a Mean of 3.47 and 0.55 of SD. Keyword: Converter, Optical Character Recognition (OCR), K-Nearest Neighbors Algorithm, Functional Testing, Conformance Testing. Title: La Fila Converter: A file Converter Using Optical Character Recognition Implementing K Nearest Neighbors Algorithm Author: Ron Dieve S. De Ramos, Fersie R. Toquia, Efraim Justin S. Paredes, Mariah Malaika Lyn M. Manaya International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online) Research Publish Journals

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