A Survey of Nandinagari Manuscript Recognition System
G Prathima, Guruprasad Kuppu Rao · 2011
Humans still outperform the latest Personal Computers in routine functions such as vision, reading and knowledge acquisition. Machine simulation of human reading has been the subject of intensive research from past several decades. Various techniques in the field of image and pattern recognition have been evolved but yet it is far from reality. Scanned document pose significant challenge to recognition of content. Innumerable volumes of such images although stored or archived well as scanned information cannot be reused or shared if they are not interpreted. This is still a research area to recognize the digitized image words in a scanned document and interpret these words to a fair accuracy. It becomes more challenging in case of Nandinagari scanned handwritten document when they need to be interpreted. While an ocean of wisdom lies there it is either not interpreted well and transformed to searchable text manually or is un-interpreted due to lack of knowledge and other external constraints that individuals face in today’s world. This paper intends to provide an extensive survey to recognize the Nandinagari scripts and its interpretation. It also makes an attempt to propose a model System Architecture for processing Nandinagari images using Optical Character recognition.