Earticle

초록

영어

Money number recognition refers to the money of the currency, the currency and authenticity recognition. Money number recognition system is the kernel module of self-service system, and the major applied range is cash-related equipments. In this paper we design a kind of money number recognition system. The quick positioning of money number is achieved based on gray value accumulation. The edge line of money number area is detected using the least square method. Using geometrical rotation method and gray adjacent interpolation method to realize the number of tilt correction. Based on the character structure characteristic and the imaginary line and character of the point of intersection features, formation recognition judgment tree, realized the character recognition. The simulation experiment indicates that this algorithm has a high recognition accuracy under the condition of rejection.

목차

Abstract
 1. Introduction
 2. Money Number Range Location
 3. The spatial Filtering of Money Number Range
 4. The Binarization Treatment of Money Image
 5. Characters Segmentation
 6. Character Recognition
  6.1. Analysis of the Structural Characteristics of the Sharacter
  6.2. A Character Classification
  6.3. The Secondary Classification of the Character
 7. Recognition Results and Analysis
 8. Conclusion
 References

키워드

저자

• Hongli Yu [ Scientific Research Administrative department, Changchun University ]
• Yingyong Zou [ Scientific Research Administrative department, Changchun University, Intelligent Machine Institute, HarbinUniversityof Science and Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605