Recently, image-based text extraction has
becomea prominent and hard study subject in computer
vision. In this article, the texts written in Kazakh are
classified based on factors such as writing style and
diversity of writing, and a text recognition system based
on correctly defined terms is developed.Text matching is
accomplished by using the EasyOCR library to the input
picture to extract the areas containing the words. The
words in the text are then determined using the locations
acquired. To initialize the text and recognize the defined
text, twodistinct functions are utilized. As a consequence,
a method for recognizing Kazakh words as graphics is
developed. The accuracy of proper text identification
revealed a result of 91%
Keywords :
Text, detection, optical character recognition, scene,detector