Character Recognition in Historical Handwritten Documents – A Survey
Nija Babu, Akash Arun Kumar Soumya · 2019
Digitization and Recognition of handwritten documents have become popular with the growth of advances in Computing. Even after the introduction of new technologies, handwritten documents continue to be the means of communication and recording information in various fields. Handwritten Character Recognition (HCR) is a subject of research for decades. Many HCR techniques have been developed for applications where documents are written by hand like bank cheques, mail addresses, legal documents, medical prescriptions etc. and have achieved satisfactory performance. But active research is still going on in character recognition from historical documents. HCR becomes more challenging for Ancient Scripts due to the presence of various kinds of noise, low intensity, discoloration etc. Vast amount of knowledge in the field of literature, architecture, history and civilization, economic factors, medicine etc. have been inscribed and preserved in historical documents in various forms. Even though several techniques have been developed for HCR for Ancient Scripts, promising results have not been achieved. The paper reviews some of the major works carried out in HCR for Ancient handwritten documents.