원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.7
2015.07
pp.207-214
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this recent era of technological development, innovation advances in every aspect of life can be easily seen. Automatic systems were developing at very fast pace. Automatic license late recognition is one of the systems that help in developing intelligent transport system in a city or country. This also finds application in the areas of vehicle surveillance, border security, toll tax management etc. This paper evaluates the performance analysis for recognition of image with alphanumeric characters under different environmental conditions. The overall performance recognition rate was 97.57%
목차
Abstract
1. Introduction
2. Component of Designed System
2.1. Image Capturing
2.2. Number Plate Extraction
2.3. Image Segmentation
2.4. Optical Character Recognition (OCR)
3. Performance Analysis for Recognition
3.1. Normal Image
3.2. Low Contrast Image
3.3. Night Vision
4. Acknowledgements
5. References
5.1. Journal Article
5.2. Conference Proceedings
5.3. Workshop
5.4. M.tech thesis
1. Introduction
2. Component of Designed System
2.1. Image Capturing
2.2. Number Plate Extraction
2.3. Image Segmentation
2.4. Optical Character Recognition (OCR)
3. Performance Analysis for Recognition
3.1. Normal Image
3.2. Low Contrast Image
3.3. Night Vision
4. Acknowledgements
5. References
5.1. Journal Article
5.2. Conference Proceedings
5.3. Workshop
5.4. M.tech thesis
저자정보
참고문헌
자료제공 : 네이버학술정보