Paper Title
Survey on Development of an Efficient Recognition System for Vedic Sanskrit Text

Abstract
Abstract - Vedic Sanskrit texts are an excellent source of knowledge about Science, mathematics, Hindu mythology, Indian civilization, and culture. It is necessary to access the texts easily, to share this information with the soil and to facilitate any analysis of these ancient texts. During this study we will analyze a variety of strategies and challenges regarding the strategies for recognizing the character of the Indic and Nagari script. The recognition of Indic texts is complex compared to other language scripts. However, several researchers have provided different solutions for Indic character recognition in addition. The recognition of Indic texts still presents a few other challenges for researchers. The current analysis provides a number of solutions to the Indic and Nagari texts to recognize malpractice in many ways even if commercial and operational accuracy has not been accomplished. Therefore our objective of this survey is to support Indic character Recognition to create a degreed-related style and develop an associate degree of economic recognition system for writing religious Indic text in the future in the same way as a systematic design to help generate direct access to those papers. Indic, to share this information. and earth. Keywords: Optical Character Recognition (OCR), Convolutional Neural Networks (CNN), Dataset, Image Pre-processing, Segmentation, Feature Extraction one. Keywords: Optical Character Recognition (OCR), Convolutional Neural Networks (CNN), Dataset, Image Pre-processing, Segmentation, Feature Extraction