Hindi Character Recognition
Author(s):
Sameeksha Sharma, Sakshi Gupta, Sanskriti Ahlawat, Prerna Chaudhary
Keywords:
CNN2D, AVERAGEPOOL2D, EASYOCR, PYTESSERACT, OCR
Abstract
In this paper, we gave a new technique and theory of Hindi Character Recognition. OCR is a very trendy topic nowadays in research and development field. Devanagari Script provides a bunch of 49 characters which includes 13 vowels and 33 consonants. Many Indian languages like Hindi, Nepali, Sindhi uses Devanagari script. It structures the creation of many languages like Hindi, which the most spoken language and also the National Language of India. In this research the aim & focus is given to detect the characters of Hindi characters from images. In this paper, we gave a new theory of extracting and detecting the Hindi vowels and consonants from the image file. Since it is the hot topic in R&D, we can find multiple theories to get the characters from the image file. In our theory, we have used EasyOCR API for extracting Hindi characters from the image and CNN2D architecture for recognizing characters from the hand gestures.
Article Details
Unique Paper ID: 152052

Publication Volume & Issue: Volume 8, Issue 2

Page(s): 775 - 779
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