System for automatic recognition and renewal of driving license
[1]Maling,Jiang Huiqin,Liu Yumin.System for automatic recognition and renewal of driving license[J].Journal of Zhengzhou University (Engineering Science),2017,38(05):13-17,22.[doi:10.13705/j.issn.1671-6833.2017.05.013]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
38
Number of periods:
2017 05
Page number:
13-17,22
Column:
Public date:
2017-09-26
- Title:
- System for automatic recognition and renewal of driving license
- Keywords:
- texture elimination; binarization; image segmentation; blob analysis; character recognition
- CLC:
- -
- Abstract:
- In order to meet the practical requirements of automatic application and renewal of driver’s license,a high speed system for automatic recognition of driver’s licenser was designed and implemented.The hardware was designed to capture the image of the driver’s license that contained the smallest identifiable features.Because of the complex background such as the shadow line and so on in the driver’s license images,the existing recognition algorithms had the low recognition accuracy,universality and robustness problems.This paper first solved the segmentation difficulties for uneven illumination,noise,tilt and shadow line character by combined adaptive binarization and morphological processing.Then,the Blob analysis was used to extract the important local features of the driver’s license,and the recognition accuracy was further improved by using the prior information and the correlation matching algorithm.The experimental results showed that not only the false recognition rate was 0,but also the practical products was developed,and the better social effects were achieved.
- References:
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