Improving Document Image Readability Using Enhanced Thresholding Techniques

Author(s)	Sakshi Sanjay jadhav, Akshada Ramdas Warungase, Smita Jaywantrao Ghorpade
Country	India
Abstract	Document image binarization presents significant challenges, particularly when it comes to isolating text in aged or deteriorated documents. This process is a crucial initial phase in Optical Character Recognition (OCR), aiming to convert the document into a binary format—distinguishing the text (foreground) from the background. This conversion facilitates easier reading and processing by computers. Given the wide variability in document quality, researchers have created numerous techniques to address various forms of damage and degradation. This research reviews core binarization techniques and sheds light on various challenges and unresolved problems in the domain of document image binarization. Through this analysis, we assess various binarization techniques to identify their limitations and propose potential avenues for enhancing future research in this field.
Keywords	degraded document images, binarization, threshold processing
Field	Computer
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-28
Cite This	Improving Document Image Readability Using Enhanced Thresholding Techniques - Sakshi Sanjay jadhav, Akshada Ramdas Warungase, Smita Jaywantrao Ghorpade - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.4068
DOI	https://doi.org/10.71097/IJSAT.v16.i2.4068
Short DOI	https://doi.org/g9gx7h

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