An Analysis of Challenges in Character Recognition on Palm Leaf Manuscripts, and their Solutions
Nagendra Panini Challa1, Lakshmi Kalyani2, Vasanth Kumar Mehta3, Lakshmi Mounika4

1Dr. Nagendra Panini Challa, Assistant Professor, Department of IT, Sri Vishnu Engineering College for Women, Bhimavaram-534202, Andhra Pradesh.
2Ms. Adurthi Lakshmi Kalyani *, Undergraduate Student, Department of CSE, SCSVMV, Kanchipuram, Tamil Nadu, India.
3Dr. R. Vasanth Kumar Mehta, Associate Professor, Department of CSE, SCSVMV, Kanchipuram, Tamil Nadu, India.
4Ms. Aalavala Lakshmi Mounika , Undergraduate Student, Department of CSE, SCSVMV, Kanchipuram, Tamil Nadu, India.
Manuscript received on March 16, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 2491-2498 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8339038620/2020©BEIESP | DOI: 10.35940/ijrte.F8339.038620

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Abstract: Information was recorded and transmitted through the use of many traditional methods in ancient times using naturally available material like palm leaves, tree barks etc. which were found suitable for long-term storage. With passage of time, these materials are increasingly prone to deterioration from many internal and external agents, and we are at a risk of losing the valuable information inscribed on them. Digitization is a feasible and available solution preservation of such content. Scanning and digitizing these manuscripts facilitates making it visible and readable for the users. The process of Knowledge retrieval from these manuscripts begins with the first step of Character Recognition. This primary step itself is a very complex task due to the variety of scripts and handwritings on the palm leaf manuscripts. This paper provides an overview about different challenges faced by global researchers pertaining to palm leaf scripts and the solutions proposed by them.
Keywords: Digitization, Hand-Written Text, Optical Character Recognition, Palm Leaf Manuscripts.
Scope of the Article: Smart Solutions – Wearable Sensors and Smart Glasses.