@inproceedings{f5ba00c7ddc746b78940392af28163b9,
title = "Number recognition using inductive learning on spiral architecture",
abstract = "In this paper, a number recognition algorithm on Spiral Architecture is proposed. This algorithm employs RULES-3 inductive learning method and template matching technique. The algorithm starts from a collection of samples of numbers or letters used in number plates. Edge maps of the samples are then detected based on Spiral Architecture. A set of rules are extracted using these samples by RULES-3. The rules describe the frequencies of 9 different edge masks appearing in the samples. Each mask is a cluster of 7 hexagonal pixels. In order to recognize a number plate, all characters (digits or letters) are tested one by one using the extracted rules. The number recognition is achieved by the frequencies of the 9 masks.",
keywords = "Hexagonal structure, Inductive learning, Number recognition, Spiral architecture, Template matching",
author = "Xiangjian He and Tom Hintz and Qiang Wu and Lihong Zheng",
year = "2005",
language = "English",
isbn = "9781932415650",
series = "Proceedings of the 2005 International Conference on Computer Vision, VISION'05",
pages = "58--62",
booktitle = "Proceedings of the 2005 International Conference on Computer Vision, VISION'05",
note = "2005 International Conference on Computer Vision, VISION'05 ; Conference date: 20-06-2005 Through 23-06-2005",
}