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Scene text localization and recognition keeps attracting an increasing interest from researchers due to its valuable advantage in extracting content from real world images and in image retrieval via text search. Nevertheless, due to the fact that the majority of the image datasets that are commonly used in this field is comprised of text in English, the related studies have mostly been limited to...
Text recognition has revolutionized the world of image processing and intelligent transportation system (ITS). It opened several possibilities to traditional ITS concept. Advancement in text recognition has made it possible to implement text recognition in ITS. Traffic panel text recognition, a real time application is considered as a key addition to the revolution in modern ITS. This research aims...
Segmentation of text on traffic panels has shown great importance. Detection and recognition of traffic panels text is still a challenge in computer vision due to its different types and hug asymmetric information. This paper proposed a method to detect roadside traffic panels and extract the information on them. In the first stage, blue, white and green color segmentation and structure classification...
The Chinese text in natural scene images which are transmitted in mobile communication network usually contains various and important information. Therefore, capturing Chinese text in these images can analyze the content of these images, and improve the commercial value and security of our network. The paper proposes an efficient and effective method to capture the Chinese text in images which were...
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