Artificial Intelligence Based Handwriting Digit Recognition (HDR) - A Technical Review
Yogesh Yogesh, G S Pradeep Ghantasala, Annu Priya
Abstract
The ability of a computer to recognise and interpret handwritten input is referred to as "handwritten text recognition," proving an intangible ability for artificial intelligence (AI). The documents could be in the form of a scanned handwritten text or a photograph of a handwritten note that has accuracy issues from the start of the handwriting recognition process. The major problem is the availability of a wide range of handwriting that may be good or bad. The computer needs to be trained with enough examples, but when it comes to accuracy, it becomes challenging due to characters with similar looks. Further, if the letters are all connected, it also makes it hard for a computer to recognise accurately. In the case of a photograph of handwriting, if the angle is changed, it would result in obscure characters that would be harder for a computer to recognise. There is a lot to learn for a computer, so artificial intelligence comes into play, which allows the computer to learn over time and adapt its output. The computer can recognise hastily scribbled text and normal handwritten letters, which greatly improves the accuracy and ability of the system.