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dc.contributor.authorMa, Shenglan
dc.contributor.authorYang, Lingling
dc.contributor.authorWang, Hao
dc.contributor.authorXiao, Hong
dc.contributor.authorDai, Hong-Ning
dc.contributor.authorCheng, Shuhan
dc.contributor.authorWang, Tongsen
dc.date.accessioned2019-06-04T06:29:59Z
dc.date.available2019-06-04T06:29:59Z
dc.date.created2019-06-02T13:39:21Z
dc.date.issued2019
dc.identifier.citationProceedings of the International Conference on Machine Learning and Computing 2019, 11, 295-300.nb_NO
dc.identifier.isbn978-1-4503-6600-7
dc.identifier.urihttp://hdl.handle.net/11250/2599801
dc.description.abstractText detection in natural scene images becomes highly demanded for unstructured data in banking. In this paper, we propose a new deep learning algorithm called MSER, Hu-moment and Deep learning for Text detection (MHDT) based on Maximum Stable Extremal Regions (MSER) and Hu-moment features. Firstly, we extract MSERs as candidate characters. Secondly, a character classifier is introduced with Hu-moment features to reduce the number of input for clustering. After single linkage clustering, a text classifier trained from a Deep Brief Network is used to delete non-text. The proposed algorithm is evaluated on the ICDAR database, and the experimental results show that the proposed algorithm yields high precision and recall rate.nb_NO
dc.language.isoengnb_NO
dc.publisherAssociation for Computing Machinery, ACMnb_NO
dc.relation.ispartofICMLC '19 Proceedings of the 2019 11th International Conference on Machine Learning and Computing
dc.titleMHDT: A Deep-Learning-Based Text Detection Algorithm for Unstructured Data in Bankingnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber295-300nb_NO
dc.identifier.doi10.1145/3318299.3318327
dc.identifier.cristin1702103
dc.description.localcode© 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published here, 10.1145/3318299.3318327.nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint


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