Abstract
This paper presents an industrial system to read
text on tyre sidewalls. Images of vehicle tyres in motion are
acquired using roadside cameras. Firstly, the tyre circularity is
detected using Circular Hough Transform (CHT) with dynamic
radius detection. The tyre is then unwarped into a rectangular
patch and a cascade of convolutional neural network (CNN)
classifiers is applied for text recognition. We introduce a novel
proposal generator for localizing the tyre code by combining
Histogram of Oriented Gradients (HOG) with a CNN. The
proposals are then filtered using a deep network. After the code
is localized, character detection and recognition are carried out
using two separate deep CNNs. The end-to-end system presents
impressive accuracy and efficiency proving its suitability for the
intended industrial application.
text on tyre sidewalls. Images of vehicle tyres in motion are
acquired using roadside cameras. Firstly, the tyre circularity is
detected using Circular Hough Transform (CHT) with dynamic
radius detection. The tyre is then unwarped into a rectangular
patch and a cascade of convolutional neural network (CNN)
classifiers is applied for text recognition. We introduce a novel
proposal generator for localizing the tyre code by combining
Histogram of Oriented Gradients (HOG) with a CNN. The
proposals are then filtered using a deep network. After the code
is localized, character detection and recognition are carried out
using two separate deep CNNs. The end-to-end system presents
impressive accuracy and efficiency proving its suitability for the
intended industrial application.
Original language | English |
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Title of host publication | 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) |
Publisher | IEEE Computer Society |
Pages | 1074-1079 |
Number of pages | 6 |
Publication status | Published - 26 Aug 2019 |
Event | International Conference on Automation Science and Engineering - Vancouver, Canada Duration: 22 Aug 2019 → 26 Aug 2019 Conference number: 15 http://case2019.hust.edu.cn/ |
Conference
Conference | International Conference on Automation Science and Engineering |
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Abbreviated title | CASE 2019 |
Country/Territory | Canada |
City | Vancouver |
Period | 22/08/19 → 26/08/19 |
Internet address |