Character recognition through image processing
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 9
Abstract
Recognition of alphabetic characters is a basic need in incorporating intelligence to computers. Machine intelligence involves several aspects among which optical recognition is a tool, which can be integrated to text recognition. To make these aspects effective character recognition with better accuracy is important. However, handwritten character recognition is still a difficult task because of the high variability in the character shapes written by individuals. Input is paragraphs of running text, which is pre-processed to segment it into normalized individual words. A neural network is trained onto the dataset containing 55 samples for each of the 26 alphabets for recognition. The paper entitled “Character Recognition” is comparable to optical character recognition software where input is fed through a camera, from internet or some scanned image as well and the processing is done at the instant of taking input. The goal is to recognize only the text component from the image stream which may have text-characters buried in the colour background, complex patterns and text like structures.
Authors and Affiliations
Khushboo, Smriti Srivastava
Keywords
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