• Bhakti Gaul
• Prof. Prashant Mane

Numerous techniques are projected by several researchers for written also as written character and numeral gratitude. Recognition is the method of exchange of written text into computer legible type. To achieve the most effective accuracy of any recognition system the choice of feature extraction and categorization technique is critical. The information concerning the character is collected by the options and as a result, classifiers categorize the character decidedly. For written characters there is a unit drawback love it differs from one author to another, even once the same person writes the same character variety of times there's a division in form, size, and position of the character. Newest analysis during this space has used frequent styles of the method, classifiers, and options to reduce the complexness of recognizing written text. During this paper, benefits and downsides of 2 diverse techniques of feature extraction and sorting are mentioned.

component HCR, Feature extraction method, HOG, PCA, Image classification techniques, CNN, NN;

"Gesture Based Alphanumeric Character Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.973-976, July 2020, Available :http://www.jetir.org/papers/JETIR2007422.pdf

"Gesture Based Alphanumeric Character Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp973-976, July 2020, Available at : http://www.jetir.org/papers/JETIR2007422.pdf