An Improved scheme of Optical Character Recognition Algorithm
International Journal of Innovations in Engineering and Technology · 2017
In this paper, the researchers are recognized on hand written character efficiently on computer with input is either a trained image[11] or currently provided scanned image, convert into a text document and also convert text document into trained hand written.Character recognition, usually abbreviated to optical character recognition or shortened OCR, is the mechanical or electronic translation of images of handwritten, typewritten or printed text (usually captured by a scanner) into machine editable text.It is a field of research in pattern recognition, artificial intelligence and machine vision.Though academic research in the field continues, the focus on character recognition has shifted to implementation of proven techniques.Optical character recognition is a scheme which enables a computer to learn, understand, improvise and interpret the written or printed character in their own language.Optical Character Recognition uses the image processing technique to identify any character computer/typewriter printed or hand written.A lot of work has been done in this field.But a continuous improvisation of OCR techniques is being done based on the fact that algorithm must have higher accuracy of recognition, higher persistency in number of times of correct prediction and increased execution time.The objective of this paper is to identify handwritten characters with the use of OCR.The improved scheme of algorithm should be able to extract the characters one by one and map the target output for training purpose.