@inproceedings{bff3d62b8935449096eac649ce9c4f92,
title = "An efficient pattern recognition technology for numerals of lottery and invoice",
abstract = "An efficient pattern recognition technology is applied to recognize the number character of lottery and invoice is proposed in this paper. There are some Arabic numerals of lottery or invoice tickets easy to be confused because of unclear printing. In this algorithm, an image processing and pattern recognition technology is applied. The advantage of this algorithm includes that the region of interest for images can be captured automatically and the accuracy of recognition is remarkable. In order to compare the Arabic numerals of invoice with template in database, the optical character recognition technology is proposed. According to compare the normalized character with template in database, the algorithm can recognize the correct Arabic numerals of lottery or invoice tickets. Based on experimental results, the proposed algorithm in this paper is efficient and has high accuracy.",
author = "Chung, {Yi Nung} and Chiu, {Ming Sung} and Lin, {Chien Chih} and Wang, {Jhen Yang} and Hsu, {Chao Hsing}",
note = "Funding Information: Acknowledgments. This work was supported by the Ministry of Science and Technology under Grant MOST 106-2221-E-018-028-.; 13th International Conference on Genetic and Evolutionary Computing, ICGEC 2019 ; Conference date: 01-11-2019 Through 03-11-2019",
year = "2020",
doi = "10.1007/978-981-15-3308-2_28",
language = "English",
isbn = "9789811533075",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "245--252",
editor = "Jeng-Shyang Pan and Yongquan Liang and Lin, {Jerry Chun-Wei} and Shu-Chuan Chu",
booktitle = "Genetic and Evolutionary Computing - Proceedings of the 13th International Conference on Genetic and Evolutionary Computing, 2019",
}