教師資料查詢 | 類別: 會議論文 | 教師: 吳孟倫 MENG-LUEN WU (瀏覽個人網頁)

標題:Vision-based Identification Extraction for Freight Containers
學年
學期
發表日期2015/07/12
作品名稱Vision-based Identification Extraction for Freight Containers
作品名稱(其他語言)
著者Chin-Shyurng Fahn; Bo-Yuan Su; Meng-Luen Wu
作品所屬單位
出版者
會議名稱International Conference on Wavelet Analysis and Pattern Recongition
會議地點Guangzhou, China
摘要The car license plates have regular formats and styles, and can be recognized by computer vision systems. However, some information that exclude from the alphanumerical characters of the car license plates are printed directly on a car body. Unlike car license plates, freight container's identifications have different colors and alignments. Some car bodies are not flat, such as trucks and freight containers, which increases the difficulty for character recognition. The character intervals in the identifications are varied from each other, and other information such as advertisement and logos are also marked on the car body, which make it hard to recognize characters too. Based on computer vision techniques, a fast and efficient method to extract the identification from freight containers is presented in this paper. The identification formats and styles conform to the standard of ISO/TC104. The information fliat does not pertain to part of the identification is eliminated during the processing. The most possible groups remaining in the image are extracted for identifications. Finally, an optical character recognition algorithm, Tesseract, is applied to recognize character images and then converted into texts. Thirty-five back surface images of freight containers are used to verify the effectiveness of the proposed method. The resolution of the images is set to 600 × 500. From the experimental results, we are encouraged that the accurate rate of identification extraction is over 90.37% and the average execution time is 12.91 seconds achieved by our proposed method.
關鍵字Identification extraction;Freight container;Optical character recognition;Computer vision;ISO/TC104
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20150712~20150715
通訊作者
國別中國
公開徵稿
出版型式
出處2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)
相關連結
SDGs
  • 尊嚴就業與經濟發展,產業創新與基礎設施
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