• Jidnyasa Kondhare
• Prof.V.A.Yaduvanshi
• Ruchira Patil
• Radhika Kaldate

Recognition of characters is simple for humans, but it is quite complex to build a software that can recognize characters. MODI is one of the ancient language. We intend to develop such a character recognition system capable to recognize printed and handwritten MODI characters at an electronic speed by scanning the documents. It is a challenging issue to develop a practical Character Recognition System which can maintain a high recognition accuracy without concerning the quality of input documents. We have developed MODI Script Character Recognizer System (MSCR) using Convolutional Neural Network (CNN) algorithm. We have considered 48 different characters of MODI script including vowels and consonants and 10 numerals to train the system by using CNN. The sample data set (training images) of the characters is maintained by taking handwritten samples from different peoples.

CNN, Vgg16 ,digit and char.recognization,MSCR.

"RECOGNITION OF HANDWRITTEN MODI DIGITS AND CHARACTERS BY USING DEEP LEARNING ALGORITHM.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.563-572, August-2022, Available :http://www.jetir.org/papers/JETIRFP06101.pdf

"RECOGNITION OF HANDWRITTEN MODI DIGITS AND CHARACTERS BY USING DEEP LEARNING ALGORITHM.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp563-572, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06101.pdf