Handwritten Documents Conversion To Digital Documents

• Published in: 2023 9th International Conference on Smart Computing and Communications (ICSCC) pp. 6 - 11
• Main Authors: Singh, Shrey Raj, Anand, Akash, Chauhan, Shweta
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.08.2023
• Subjects: Computational modeling; Digital documents; Handwritten documents; Manuals; Optical character recognition; Optical character recognition (OCR); Optical recording; Shape; Technological innovation; Training
• DOI: 10.1109/ICSCC59169.2023.10335069

Handwritten documents are a critical viewpoint of chronicled records and individual reports. With the approach of computerized innovation, it has ended up essential to change over handwritten documents into advanced frame for conservation and openness purposes. Manually written to advanced archive transformation includes the utilize of Optical Character Acknowledgment (OCR) program to recognize and change over written by hand content into advanced shape. This paper gives insights and work on the procedures and challenges included in transcribed to digital document conversion. In recent years, the requirement for transcribed to digital archive conversion has expanded essentially. With the expanding digitization of authentic records and individual archives, it has ended up fundamental to change over handwritten documents into digital form for conservation and availability purposes. This has helped researchers in the advancement of modern OCR computer program that can recognize and change over written by hand content precisely. In this paper we work on the challenges faced in manual written to computerized document change, counting the exactness of OCR program, the conservation of the first record, and the dealing with the delicate data.