Font Acknowledgment and Character Extraction of Digital and Scanned Images
This addresses the problem of extracting data from surveillance camera footage or similar sources, but it is incremental as it applies existing methods to specific fonts.
The paper tackles font recognition and character extraction from digital and scanned images, using a correlation-based method to identify fonts like Times New Roman, Arial, and Comic Sans MS and recover text, even with some noise from photocopying.
The font recognition and character extraction is of immense importance as these are many scenarios where data are in such a form, which cannot be processed like in image form or as a hard copy. So the procedure developed in this paper is basically related to identifying the font (Times New Roman, Arial and Comic Sans MS) and afterwards recovering the text using simple correlation based method where the binary templates are correlated to the input image text characters. All of this extraction is done in the presence of a little noise as images may have noisy patterns due to photocopying. The significance of this method exists in extraction of data from various monitoring (Surveillance) camera footages or even more. The method is developed on Matlab\c{opyright} which takes input image and recovers text and font information from it in a text file.