• DNYANDEV RAVINDRA KHADAPKAR
• DEEPALI RAIKAR

This project aims to translate the hand written devnagri scripts of First Investigation Report to English. Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic conversion of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used as a form of data entry from some sort of original paper data source, whether documents, sales receipts, e-mails, or any number of printed records. It is crucial to the computerization of printed texts so that they can be electronically searched, stored more compactly, displayed on-line, and used the machine processes such as machine translation, text-to speech and text mining. The algorithm aims at overcoming many problems in long short term memory and recurrent neural network gradient algorithm, Here the each character text is then normalized to bring all the character in uniform size. The goal of our work is to build the application that will demonstrate high performance of these features when classified using back propagation artificial neural network and create an application that will recognize text in a devnagri script and translate it to English. The user will just have to click a picture of a text and will get the translation of text at the click of a button.

Optical Character Recognition, Machine Translation, First Investigation Report, Long-Short Term Memory, Recurrent Neural Network.

"INTEGRATING OPTICAL CHARACTER RECOGNITION AND MACHINE TRANSLATION OF FIRST INVESTIGATION REPORT TO ENGLISH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.181-186, June 2019, Available :http://www.jetir.org/papers/JETIR1906O27.pdf

"INTEGRATING OPTICAL CHARACTER RECOGNITION AND MACHINE TRANSLATION OF FIRST INVESTIGATION REPORT TO ENGLISH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp181-186, June 2019, Available at : http://www.jetir.org/papers/JETIR1906O27.pdf