Title :
Devnagari handwritten character recognition (DHCR) for ancient documents: A review
Author :
Shah, Kunal Ravindra ; Badgujar, Dipak Dattatray
Author_Institution :
Sinhgad Inst. of Technol., Lonavala, India
Abstract :
The field of character recognition has attracted more concentration of researchers for recognizing text from ancient documents. But because of some of the problems like error in recognition in text lines, overlapped characters, joined text line, ages, damage in text lines it is becoming more challenging for them to recognize the text. However, Most of devnagari handwritten ancient documents are not available for all, because of their delicate condition. The purpose of recognizing such document is to preserve and retrieve ancient knowledge from ancient manuscripts. So here we are giving review of some of the methods for detection of characters easily with less error in retrieved text.
Keywords :
handwritten character recognition; information retrieval; natural language processing; text analysis; DHCR; Devnagari handwritten character recognition; ancient document; ancient knowledge preservation; ancient knowledge retrieval; ancient manuscript; character detection; text recognition; text retrieval; Character recognition; Conferences; Feature extraction; Layout; Noise; Optical character recognition software; Text recognition; Ancient Documents; DBSCAN; Devnagari Handwritten Character Recognition; DoG; Historical Manuscripts; OCR; Pattern Recognition;
Conference_Titel :
Information & Communication Technologies (ICT), 2013 IEEE Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-5759-3
DOI :
10.1109/CICT.2013.6558176