Abstract:
Portable tablet PCs are very useful in relevant industry of this age
because tablets are elegant in appearance and convenient to use. Important things are
noted on tablet by handwriting easily in respective industry. Recognition of
handwritten characters automatically on tablet like human’s brain is also necessary to
be more convenient. To split each character of different handwritten styles is very
difficult and it is the main challenging of handwritten character recognition. The
previous handwritten character segmentation approaches are still continuing in
different problems because of different handwritten styles. The combination of sliding
windows, Region of Interest (ROI) box and Convolutional Neural Network (CNN) are
used to execute recognition based segmentation (implicit) of handwritten characters.
This system is intended to perform both segmentation and recognition of tablet
based application input handwritten characters. Handwritten data are collected from
24 members of our laboratory using three tablets PC models to perform the
experiments.
