Optical Character Recognition: Even Images have stories to tell

Author(s)	Ms. Mahita Dabhade, Tisha Khatri, Jenil Mistry, Rajas Vartak
Country	India
Abstract	In an era where digitization is paramount, the ability to convert printed or handwritten text into machine-readable formats has become indispensable. Optical Character Recognition (OCR) has emerged as a groundbreaking technology that facilitates this transformation, enhancing accessibility, automation, and efficiency across multiple sectors. This research delves into the evolution of OCR, its underlying mechanisms, and its integration with cutting-edge AI-powered tools such as ML Kit. We analyze its application within mobile and cloud-based platforms, emphasizing real-time language detection, handwriting recognition, and predictive text analysis. Additionally, this paper examines the role of OCR in industries such as banking, healthcare, security, and research, highlighting its transformative impact on document processing and data retrieval. Finally, we discuss the future scope of OCR, including advancements in deep learning, real-time augmented reality (AR) text extraction, and blockchain-based data authentication.
Keywords	OCR, Artificial Intelligence, Machine Learning, Image Processing, Text Recognition, ML Kit, Deep Learning.
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-03-29

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International Journal For Multidisciplinary Research