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@article{192785,
        author = {GOPIKA.D and NAASIF.M and VANMATHI.J and DEEPIKA.P},
        title = {A Survey on Optical Character Recognition System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {2025-2027},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192785},
        abstract = {Optical Character Recognition (OCR) has remained a significant area of academic and industrial interest for several decades. It is fundamentally defined as the technological process of converting document images into a format of individual characters that a machine can process.  While extensive research has been conducted, achieving human-level accuracy in character recognition remains a persistent challenge in the field.  This complexity has led to a surge in the number of academic laboratories and corporate entities dedicated to refining these systems.  The primary objective of this research is to synthesize current developments within the OCR landscape.  This paper provides an extensive overview of OCR methodologies and examines various technical proposals designed to mitigate existing system limitations.},
        keywords = {Optical character Recognition (OCR), Document Image Processing, Character Recognition, Text Extraction},
        month = {February},
        }