Proceedings of the 6th Batusangkar International Conference, BIC 2021, 11 - 12 October, 2021, Batusangkar-West Sumatra, Indonesia

Research Article

Improvement of Services through Digital Documents Filing with The Template Matching Correlation Method

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  • @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
Teddy Setiady1,*, Nasril Nasril1, Kuswandi Kuswandi1, Setiawan Setiawan1, Hesti Rian1
  • 1: Polytechnic LP3I Jakarta, Jakarta, Indonesia
*Contact email: Teddysetiady007@gmail.com

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.