Using Radon Transform to Recognize Skewed Images of Vehicular License Plates

An algorithm that projects image intensity along a radial line oriented at a specific angle enables the recognition of vehicular license plates at odd angles. The algorithm determines orientation angle, rotates the image to a horizontal perspective, and removes image noise from rotation to achieve recognition accuracy as high as 98 percent.

[1]  Huizhong Chen,et al.  Robust text detection in natural images with edge-enhanced Maximally Stable Extremal Regions , 2011, 2011 18th IEEE International Conference on Image Processing.

[2]  Chucai Yi,et al.  Text String Detection From Natural Scenes by Structure-Based Partition and Grouping , 2011, IEEE Transactions on Image Processing.

[3]  Yonatan Wexler,et al.  Detecting text in natural scenes with stroke width transform , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[4]  Jiri Matas,et al.  A Method for Text Localization and Recognition in Real-World Images , 2010, ACCV.

[5]  Chew Lim Tan,et al.  Ieee Transactions on Pattern Analysis and Machine Intelligence, Manuscript Id a Laplacian Approach to Multi-oriented Text Detection in Video , 2022 .

[6]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Ching-Tang Hsieh,et al.  License Plate Detection Based on Expanded Haar Wavelet Transform , 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

[8]  Anil K. Jain,et al.  Automatic text location in images and video frames , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[9]  Jing-Ming Guo,et al.  License Plate Localization and Character Segmentation With Feedback Self-Learning and Hybrid Binarization Techniques , 2008, IEEE Transactions on Vehicular Technology.

[10]  Scott E. Davidson The use of automatic number plate recognition reading in managing access to the boots company headquarter site , 2001, Proceedings IEEE 35th Annual 2001 International Carnahan Conference on Security Technology (Cat. No.01CH37186).

[11]  Rachid Deriche,et al.  Using Canny's criteria to derive a recursively implemented optimal edge detector , 1987, International Journal of Computer Vision.