Mongolian Car Plate Recognition using Neural Network

• 발행기관: 한국스마트미디어학회
• 저자명: Bud Ragchaabazar SooHyung Kim In Seop Na
• 간행물 정보: 『스마트미디어저널』Vol2, No.4, 20~26쪽, 전체 7쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2013.12.30

영문 초록

This paper presents an approach to Mongolian car plate recognition using artificial neural network. Our proposed method consists of two steps: detection and recognition. In detection step, we implement Flood fill algorithm. In recognition step we proceed to segment the plate for each Cyrillic character, and use an Artificial Neural Network (ANN) machine - learning algorithm to recognize the character. We have learned the theory of ANN and implemented it without using any library. A total of 150 vehicles images obtained from community entrance gates have been tested. The recognition algorithm shows an accuracy rate of 89.75%.

목차

Abstract

I. INTRODUCTION

II. OUR PROPESOD DETECTION

III. Our proposed recognition

IV. EXPERIMENTAL RESULTS

V. CONCLUSION

REFERENCES

키워드

Mongolian car plate Cyrillic Flood fill algorithm Artificial Neural Network (ANN)