International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 181 - Number 36 |
Year of Publication: 2019 |
Authors: Sushma S. N., Sharada B. |
10.5120/ijca2019918322 |
Sushma S. N., Sharada B. . Keyword Spotting in Scanned Images of Historical Handwritten Devanagri Documents. International Journal of Computer Applications. 181, 36 ( Jan 2019), 5-9. DOI=10.5120/ijca2019918322
Huge quantity of information is lying quiescent in historical manuscripts. This information would go wasted if it is not stored digitally. In keyword spotting, all occurrences of a query keyword image are retrieved from scanned document images. The problem of spotting words from handwritten documents is difficult due to its huge changeability in writing styles and its large vocabulary. Existing keyword spotting approach is mainly based on statistical depiction of word image. This paper presents an efficient structural depiction of word image, where the handwritten words are represented using graph based method for historical handwritten devanagari manuscripts. Experimentation is conducted on historical handwritten Shankaracharya’s documents written in Devanagari. The results were promising in terms of accuracy and efficiency.