Research Article
Improvement of Services through Digital Documents Filing with The Template Matching Correlation Method
@INPROCEEDINGS{10.4108/eai.11-10-2021.2319533, author={Teddy Setiady and Nasril Nasril and Kuswandi Kuswandi and Setiawan Setiawan and Hesti Rian}, title={Improvement of Services through Digital Documents Filing with The Template Matching Correlation Method}, proceedings={Proceedings of the 6th Batusangkar International Conference, BIC 2021, 11 - 12 October, 2021, Batusangkar-West Sumatra, Indonesia}, publisher={EAI}, proceedings_a={BIC}, year={2022}, month={8}, keywords={document imaging; optical character recognition; matching correlation}, doi={10.4108/eai.11-10-2021.2319533} }- Teddy Setiady
Nasril Nasril
Kuswandi Kuswandi
Setiawan Setiawan
Hesti Rian
Year: 2022
Improvement of Services through Digital Documents Filing with The Template Matching Correlation Method
BIC
EAI
DOI: 10.4108/eai.11-10-2021.2319533
Abstract
Scanning printed documents into digital documents has become a necessity in universities. Each document has a unique number as an identity with a certain code structure. The purpose of this research was to determine the effectiveness of document scanning results by utilizing an optical character recognition technique known as OCR (Optical Character Recognition) on this unique number. The method used in this optical character recognition process was to use template matching correlation,a technique to get the highest value in the comparison of characters in the input image. The image with the highest value is determined as the image that best fits the template. The technology developed in this study was Template Matching Correlation so that it can produce applications using MATLAB that can detect unique numbers in documents as a reference in file filing in the form of naming new files and placing the files in the desired folder.