Abstract:
"
This thesis aims to represent the work related to English cursive character recognition in order
to recognize medical prescriptions and automate the medicine availability checking process of
a pharmacy. Cursive character recognition is really challenging because the characters are
connected to each other. The proposed project is specifically for the medical domain to
recognize medicine names from the prescription prescribed by the physician. The medicine
names are recognized as an entire since there is no extra space between characters. The
recognized text line segments are matched with a medicine name lexicon entries to acquire
reliable segmentation and get valid medicine names. Finally, the recognized medicine names
are matched with the available medicines lexicon in order to find the availability of the
medicines. "
