This paper proposes a method of detecting the license plates of vehicles. The proposed technology applicable to different formats of license plates detects the numbers by standardizing the images at edge points. Specifically, in accordance with the format of each license plate, the technology captures the image in the character segment, and compares it against the sample model to derive their similarity and identify the numbers. Characters with high similarities are used to form a group of candidates and to extract the final characters.
Analyzing the experimental results found the similarity of the extracted characters exceeded 90%, whereas that of less identifiable numbers was markedly lower. Still, the accuracy of the extracted characters with the highest similarity was over 80%. The proposed technology is applicable to extracting the character patterns of certain formats in diverse and useful ways.
[journal]
Seong-Woo Kim
/ 2002
/ The Recognition of Vehicle Plate's korean Character Using Grapheme Segmentation
/ Korea Information science society
29(1B)
[thesis]
Eun-Gyeom Jang
/ 2007
/ Authentication Mechanism for Protecting Digital Contents Right in Internet UCC Environment
/ Daejeon Univ. Graduate school
[journal]
Sook Kim
/ 1998
/ A License Plate Extraction Algorithm using Brightness Vector
/ Journal of KISS(B): Software and Applications
25(4)
: 676~684
[confproc]
SungWon Mun
/ 2004
/ A performance analysis of car license plate recognition according to slants
/ Proceedings of KIIT Summer Conference, Korean Institute of Information Technology
: 90~93
@article{ART002398234}, author={EunGyeom Jang}, title={A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns}, journal={Journal of The Korea Society of Computer and Information}, issn={1598-849X}, year={2018}, volume={23}, number={10}, pages={87-94}, doi={10.9708/jksci.2018.23.10.087}
TY - JOUR AU - EunGyeom Jang TI - A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns JO - Journal of The Korea Society of Computer and Information PY - 2018 VL - 23 IS - 10 PB - The Korean Society Of Computer And Information SP - 87 EP - 94 SN - 1598-849X AB - This paper proposes a method of detecting the license plates of vehicles. The proposed technology applicable to different formats of license plates detects the numbers by standardizing the images at edge points. Specifically, in accordance with the format of each license plate, the technology captures the image in the character segment, and compares it against the sample model to derive their similarity and identify the numbers. Characters with high similarities are used to form a group of candidates and to extract the final characters.
Analyzing the experimental results found the similarity of the extracted characters exceeded 90%, whereas that of less identifiable numbers was markedly lower. Still, the accuracy of the extracted characters with the highest similarity was over 80%. The proposed technology is applicable to extracting the character patterns of certain formats in diverse and useful ways. KW - Pattern;License plate;Text extraction;Pattern analysis DO - 10.9708/jksci.2018.23.10.087 ER -
EunGyeom Jang. (2018). A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns. Journal of The Korea Society of Computer and Information, 23(10), 87-94.
EunGyeom Jang. 2018, "A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns", Journal of The Korea Society of Computer and Information, vol.23, no.10 pp.87-94. Available from: doi:10.9708/jksci.2018.23.10.087
EunGyeom Jang "A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns" Journal of The Korea Society of Computer and Information 23.10 pp.87-94 (2018) : 87.
EunGyeom Jang. A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns. 2018; 23(10), 87-94. Available from: doi:10.9708/jksci.2018.23.10.087
EunGyeom Jang. "A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns" Journal of The Korea Society of Computer and Information 23, no.10 (2018) : 87-94.doi: 10.9708/jksci.2018.23.10.087
EunGyeom Jang. A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns. Journal of The Korea Society of Computer and Information, 23(10), 87-94. doi: 10.9708/jksci.2018.23.10.087
EunGyeom Jang. A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns. Journal of The Korea Society of Computer and Information. 2018; 23(10) 87-94. doi: 10.9708/jksci.2018.23.10.087
EunGyeom Jang. A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns. 2018; 23(10), 87-94. Available from: doi:10.9708/jksci.2018.23.10.087
EunGyeom Jang. "A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns" Journal of The Korea Society of Computer and Information 23, no.10 (2018) : 87-94.doi: 10.9708/jksci.2018.23.10.087