Enhanced OCR Recognition for Madurese Text Documents: A Genetic Algorithm Approach with Tesseract 5.5

Enhanced OCR Recognition for Madurese Text Documents: A Genetic Algorithm Approach with Tesseract 5.5

Character Recognition (OCR) for the Madurese language using Genetic Algorithms (GA). The study addresses the challenges in processing Madurese text documents by implementing a nine-step image preprocessing workflow optimized through GA. Our methodology combines rescaling, grayscale conversion, adapt...

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Bibliographic Details
Main Authors: Muhammad Nazir Arifin, Muhammad Umar Mansyur, Ali Rahman, Nindian Puspa Dewi, Fauzan Prasetyo Eka Putra
Format: Article
Language:Indonesian
Published: Universitas Muhammadiyah Purwokerto 2025-08-01
Series:Jurnal Informatika
Subjects:
image preprocessing
optical character recognition
genetic algorithm optimization
madurese language processing
tesseract ocr
Online Access:http://jurnalnasional.ump.ac.id/index.php/JUITA/article/view/25794
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