A new deep fuzzy based MSER model for multiple document images classification
Understanding document images uploaded on social media is challenging because of multiple types like handwritten, printed and scene text images. This study presents a new model called Deep Fuzzy based MSER for classification of multiple document images (like handwritten, printed and scene text). The...
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my.um.eprints.435372023-11-01T07:07:37Z http://eprints.um.edu.my/43537/ A new deep fuzzy based MSER model for multiple document images classification Biswas, Kunal Shivakumara, Palaiahnakote Sivanthi, Sittravell Pal, Umapada Lu, Yue Liu, Cheng-Lin Ayub, Mohamad Nizam Bin QA75 Electronic computers. Computer science Understanding document images uploaded on social media is challenging because of multiple types like handwritten, printed and scene text images. This study presents a new model called Deep Fuzzy based MSER for classification of multiple document images (like handwritten, printed and scene text). The proposed model detects candidate components that represent dominant information irrespective of the type of document images by combining fuzzy and MSER in a novel way. For every candidate component, the proposed model extracts distance-based features which result in proximity matrix (feature matrix). Further, the deep learning model is proposed for classification by feeding input images and feature matrix as input. To evaluate the proposed model, we create our own dataset and to show effectiveness, the proposed model is tested on standard datasets. The results show that the proposed approach outperforms the existing methods in terms of average classification rate. © 2022, Springer Nature Switzerland AG. Springer Science and Business Media Deutschland GmbH 2022 Article PeerReviewed Biswas, Kunal and Shivakumara, Palaiahnakote and Sivanthi, Sittravell and Pal, Umapada and Lu, Yue and Liu, Cheng-Lin and Ayub, Mohamad Nizam Bin (2022) A new deep fuzzy based MSER model for multiple document images classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13363. 358 – 370. ISSN 03029743, DOI https://doi.org/10.1007/978-3-031-09037-0_30 <https://doi.org/10.1007/978-3-031-09037-0_30>. 10.1007/978-3-031-09037-0_30 |
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QA75 Electronic computers. Computer science Biswas, Kunal Shivakumara, Palaiahnakote Sivanthi, Sittravell Pal, Umapada Lu, Yue Liu, Cheng-Lin Ayub, Mohamad Nizam Bin A new deep fuzzy based MSER model for multiple document images classification |
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Understanding document images uploaded on social media is challenging because of multiple types like handwritten, printed and scene text images. This study presents a new model called Deep Fuzzy based MSER for classification of multiple document images (like handwritten, printed and scene text). The proposed model detects candidate components that represent dominant information irrespective of the type of document images by combining fuzzy and MSER in a novel way. For every candidate component, the proposed model extracts distance-based features which result in proximity matrix (feature matrix). Further, the deep learning model is proposed for classification by feeding input images and feature matrix as input. To evaluate the proposed model, we create our own dataset and to show effectiveness, the proposed model is tested on standard datasets. The results show that the proposed approach outperforms the existing methods in terms of average classification rate. © 2022, Springer Nature Switzerland AG. |
format |
Article |
author |
Biswas, Kunal Shivakumara, Palaiahnakote Sivanthi, Sittravell Pal, Umapada Lu, Yue Liu, Cheng-Lin Ayub, Mohamad Nizam Bin |
author_facet |
Biswas, Kunal Shivakumara, Palaiahnakote Sivanthi, Sittravell Pal, Umapada Lu, Yue Liu, Cheng-Lin Ayub, Mohamad Nizam Bin |
author_sort |
Biswas, Kunal |
title |
A new deep fuzzy based MSER model for multiple document images classification |
title_short |
A new deep fuzzy based MSER model for multiple document images classification |
title_full |
A new deep fuzzy based MSER model for multiple document images classification |
title_fullStr |
A new deep fuzzy based MSER model for multiple document images classification |
title_full_unstemmed |
A new deep fuzzy based MSER model for multiple document images classification |
title_sort |
new deep fuzzy based mser model for multiple document images classification |
publisher |
Springer Science and Business Media Deutschland GmbH |
publishDate |
2022 |
url |
http://eprints.um.edu.my/43537/ |
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1781704711052722176 |
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13.18916 |