Scene text extraction in natural scene images using hierarchical feature combining and verification
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim K.C. | - |
dc.contributor.author | Byun H.R. | - |
dc.contributor.author | Song Y.J. | - |
dc.contributor.author | Choi Y.W. | - |
dc.contributor.author | Chi S.Y. | - |
dc.contributor.author | Kim K.K. | - |
dc.contributor.author | Chung Y.K. | - |
dc.date.available | 2021-02-22T16:16:37Z | - |
dc.date.issued | 2004-09 | - |
dc.identifier.issn | 1051-4651 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/16118 | - |
dc.description.abstract | We propose a method that extracts text regions in natural scene images using low-level image features and that verifies the extracted regions through a high-level text stroke feature. Then the two level features are combined hierarchically. The low-level features are color continuity, gray-level variation and color variance. The color continuity is used since most of the characters in a text region have the same color, and the gray-level variation is used since the text strokes are distinctive to the background in their gray-level values. Also, the color variance is used since the text strokes are distinctive in their colors to the background, and this value is more sensitive than the gray-level variations. As a high level feature, text stroke is examined using multi-resolution wavelet transforms on local image areas and the feature vector is input to a SVM(Support Vector Machine) for verification. We tested the proposed method with various kinds of the natural scene images and confirmed that extraction rates are high even in complex images. | - |
dc.format.extent | 4 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE | - |
dc.title | Scene text extraction in natural scene images using hierarchical feature combining and verification | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ICPR.2004.1334350 | - |
dc.identifier.scopusid | 2-s2.0-10044240329 | - |
dc.identifier.bibliographicCitation | Proceedings - International Conference on Pattern Recognition, v.2, pp 679 - 682 | - |
dc.citation.title | Proceedings - International Conference on Pattern Recognition | - |
dc.citation.volume | 2 | - |
dc.citation.startPage | 679 | - |
dc.citation.endPage | 682 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Color continuity | - |
dc.subject.keywordPlus | Natural scene image | - |
dc.subject.keywordPlus | Support vector machine (SVM) | - |
dc.subject.keywordPlus | Text extraction | - |
dc.subject.keywordPlus | Color | - |
dc.subject.keywordPlus | Hierarchical systems | - |
dc.subject.keywordPlus | Image processing | - |
dc.subject.keywordPlus | Object recognition | - |
dc.subject.keywordPlus | Problem solving | - |
dc.subject.keywordPlus | Vector quantization | - |
dc.subject.keywordPlus | Vectors | - |
dc.subject.keywordPlus | Feature extraction | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/1334350 | - |
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