Published Paper Details:

Object detection methods based on machine learning are used in number of areas ITS (Intelligent Transportation System) and ADS (Autonomous Driving System). At the same time, the search for literature and popularity in special cases has also attracted a lot of attention and research. Content verification and authentication has become a major issue in the last few years. In computer vision and machine learning field, and the development of applications based on content detection and recognition, have also contributed to this trend. Searching for and familiarizing yourself with video subtitles and text on web pages is also helpful. Many studies have been done on text search and botanical image extraction. Various optical tools are also available. The problem of text finding and recognizing is still not fully solved. It is still very difficult to separate and extract texts from natural phenomena. Content analysis in natural pictures has attracted the devotion of the machine vision community due to its applications in data analysis, event data, robotic navigation, and image retrieval. Although previous studies have been quite successful in exploring the content and context of the text, it is still difficult due to the huge gap between the text and the date. The best method in text research is to divide the subject into content search and text recognition and treat these as separate tasks. Machine learning-based methods check for both.