Earticle

초록

영어

In this article, we research and design a new vehicle license plate recognition system in traffic management system, this new system will solve a lot of problems about vehicle. The system include two parts, "Plate Detect" and "Chars Recognize", we did pretreatment in the first part, and using our improved fusion kernel function SVM to detect the plate, and in the second part, we segmented every single char batch, and used the new deep learning model CNN model to implement recognizing alphabets and numbers, this system recognition accuracy rate will over 97%, can be a part of traffic management system in Smart City.

목차

Abstract
 1. Introduction
 2. Overview Method
 3. The Detail Algorithm for "Plate Detect"
  3.1. Pretreatment process
  3.2. Train SVM Model and Recognize the License Plate
  3.3. The results of "Plate Detect"
 4. The Detail Algorithm for "Chars Recognize"
  4.1. Segment the "License Plate" Region Batch
  4.2. Recognize the "Chars" by Pre-trained CNN Model
  4.3. The Results of "Chars Recognize"
 5. Conclusion
 References

키워드

저자

• Ronghui Fu [ College of Computer Science, Neijiang Normal University, Neijiang, SiChuan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605