Abstract
Character segmentation from License plate is challenging as it suffers from non-uniform illumination, blur and touching adjacent character due to head light of vehicles effect etc. This paper presents a new approach based on sharpness of character and the space regions for segmentation. We explore Gradient Vector Flow Opposite Direction Pair of pixels for seed point's selection. From the seed points, the proposed approach detects probable cuts between character components based on minimum cost path estimation. Then we propose a new sharpness for detecting candidate cuts from the probable cuts based on Laplacian zero crossing points and Sobel-Gradient. The average width of candidate cuts is considered as reference cut to identify the correct cuts between character components. Experimental results on real industry dataset of license plate shows that the proposed approach is robust to touching, blur, poor quality images. Further, comparative study with an existing approach shows that the proposed approach outperforms the existing approach.
Original language | English |
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Title of host publication | Proceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 544-548 |
Number of pages | 5 |
ISBN (Electronic) | 9781479961009 |
DOIs | |
Publication status | Published - 7 Jun 2016 |
Externally published | Yes |
Event | IAPR Asian Conference on Pattern Recognition (ACPR) 2015 - Kuala Lumpur, Malaysia Duration: 3 Nov 2016 → 6 Nov 2016 Conference number: 3rd https://ieeexplore.ieee.org/xpl/conhome/7484414/proceeding (Proceedings) |
Conference
Conference | IAPR Asian Conference on Pattern Recognition (ACPR) 2015 |
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Abbreviated title | ACPR 2015 |
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 3/11/16 → 6/11/16 |
Internet address |
Keywords
- Character segmentation
- Cost path estimation
- Gradient vector flow
- Laplacian zero crossing points
- Refined cuts
- Sharpness
- Sobel-gradient