Ubiquitous Computing and Communication Journal
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Abstract
Title: TIRE TYPE RECOGNITION THROUGH TREADS PATTERN RECOGNITION AND DOT CODE OCR
Authors: Dr. Tasneem Wahdan, Dr. Gheith A. Abandah, Dr. Alia Seyam, Dr. Alaa Awwad, Dr. Islam Shdaifat
Abstract:
Tire text and geometry detection are used in scanning tires in order to identify the tire type and classify them according to a code printed on the sidewall which is called “DOT Code” then checking the treads whether they are defected or not based on the pattern periodicity of them. Classification is done based on applying some image processing and pattern recognition techniques on both treads plus DOT code samples of the tire. Tire classification that works based on treads is more accurate than classification based on DOT code, but using them together results in a powerful and accurate classification process