Qualitative analysis framework for converting braille to voice using image recognition

Abstract

In our everyday life, we are seeing a great deal of visionless people in our general public. These individuals face challenges with their ordinary exercises, for example, perusing, strolling, driving, mingling and composing. Braille Script is a technique that is broadly utilized by visionless people to peruse and compose. Braille Script is a system that is commonly used by visionless individuals to examine and form. Braille Code generally contains cells of brought spots organized up in a system to etch characters on paper. Trance People can identify the proximity and nonappearance of spots using their fingertips, giving them the code for picture. Its characters are six-spot cells, with segments and three lines. The musing is completed on a present understanding structure united with a constrained state machine with certain setting organizing and elucidation rules. A system is proposed for changing over Braille codes to Tamil voice message executed using Python in Natural Language Processing which can be scrutinized out to various through the PC. In this paper Braille code is expelled from data picture and it is mapped to the Tamil database and held up.