A Novel Rough Set based Technique for Character Spotting on Inscription Images
Ushasi Chaudhuri, Partha Bhowmick, Jayanta Mukherjee · 2017
The ability to spot a few known characters or symbols allows the linguists and historians to guess the era in which an inscription was made. Manual spotting of these characters proves to be very laborious and error-prone. Hence, automation in character spotting has evolved in recent time, which has its own challenges due to natural wear and tear of inscriptions through aging. In this paper, we present a computationally efficient technique for character spotting using certain concepts from rough set theory. After image binarization, we compute various attributes for the isolated symbols within the ambit of rough set. In order to spot a symbol in the inscription, the corresponding attribute set for the query symbol is matched with that of the inscribed symbols. We provide the details of the method in this paper and show that the symbols or characters can be quite accurately spotted in the inscription.