Preprocessing in Handwritten Character Recognition

Handwritten Character Recognition (HCR) based on neural networks, deep learning, and machine learning methods is one hot topic of research today. But as a technology, HCR systems are existing since 1980s. Early products incorporating HCR were launched by companies like Pencept (product: Penpad) and Grid Systems (GRiDPad). Companies including IBM, Microsoft, Apple also introduced products around Pen Computing incorporating HCR technology in 1990s and 2000s but didn't get too much success with them primarily because of inaccuracy and inefficiency of HCR technology in those days. But in the modern days, with unparalleled computing power available at our disposal and with form factor of our computing devices getting smaller (as we are moving from Desktop PCs to Tablet/ or Smartphones) HCR technology find more use and this is a reason it is getting a lot of traction in electronic gadgets of today including smartphones, personal digital assistants (PDAs), tablets etc...

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