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Text detection and recognition in raw image dataset of seven segment digital energy meter display
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| Veröffentlicht in: | Energy reports 5(2019) vom: Nov., Seite 842-852 |
|---|---|
| Personen und Körperschaften: | , |
| Titel: | Text detection and recognition in raw image dataset of seven segment digital energy meter display/ Karthick Kanagarathinam, Kavaskar Sekar |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
2019
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| Gesamtaufnahme: |
: Energy reports, 5(2019) vom: Nov., Seite 842-852
, volume:5 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 520 | |a The article describes the collection of the dataset of raw images of digital energy meters display, text detection and recognition of seven segment numerals from collected samples that may be helpful in reducing the cost of advanced metering infrastructure (AMI). The presented dataset has tremendous potentials in fully automated optical character recognition (OCR) based electricity billing. The dataset has been named as ‘YUVA EB Dataset’ that has the collection of digital energy meter images. The images have been captured under day and night light conditions. The research work on recognizing the text from seven segment display in energy meters has been carried out using our dataset under the challenging text recognition conditions like tilted position, blurred, day and night light captured images. MSER and labeling method based OCR algorithm has been used for text detection and recognition. | ||
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| contents | The article describes the collection of the dataset of raw images of digital energy meters display, text detection and recognition of seven segment numerals from collected samples that may be helpful in reducing the cost of advanced metering infrastructure (AMI). The presented dataset has tremendous potentials in fully automated optical character recognition (OCR) based electricity billing. The dataset has been named as ‘YUVA EB Dataset’ that has the collection of digital energy meter images. The images have been captured under day and night light conditions. The research work on recognizing the text from seven segment display in energy meters has been carried out using our dataset under the challenging text recognition conditions like tilted position, blurred, day and night light captured images. MSER and labeling method based OCR algorithm has been used for text detection and recognition. |
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| spelling | Kanagarathinam, Karthick VerfasserIn aut, Text detection and recognition in raw image dataset of seven segment digital energy meter display Karthick Kanagarathinam, Kavaskar Sekar, 2019, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, The article describes the collection of the dataset of raw images of digital energy meters display, text detection and recognition of seven segment numerals from collected samples that may be helpful in reducing the cost of advanced metering infrastructure (AMI). The presented dataset has tremendous potentials in fully automated optical character recognition (OCR) based electricity billing. The dataset has been named as ‘YUVA EB Dataset’ that has the collection of digital energy meter images. The images have been captured under day and night light conditions. The research work on recognizing the text from seven segment display in energy meters has been carried out using our dataset under the challenging text recognition conditions like tilted position, blurred, day and night light captured images. MSER and labeling method based OCR algorithm has been used for text detection and recognition., Aufsatz in Zeitschrift DE-206, Sekar, Kavaskar VerfasserIn aut, Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 5(2019) vom: Nov., Seite 842-852 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns, volume:5 year:2019 month:11 pages:842-852, https://doi.org/10.1016/j.egyr.2019.07.004 Resolving-System kostenfrei Volltext, https://www.sciencedirect.com/science/article/pii/S235248471930174X/pdfft?md5=644fc3da77a3f284f1f14f95231ece41&pid=1-s2.0-S235248471930174X-main.pdf Verlag kostenfrei Volltext, http://hdl.handle.net/10419/243632 Resolving-System kostenfrei, https://creativecommons.org/licenses/by/4.0/ Verlag Terms of use, https://doi.org/10.1016/j.egyr.2019.07.004 LFER, https://www.sciencedirect.com/science/article/pii/S235248471930174X/pdfft?md5=644fc3da77a3f284f1f14f95231ece41&pid=1-s2.0-S235248471930174X-main.pdf LFER, LFER 2020-02-17T00:00:00Z |
| spellingShingle | Kanagarathinam, Karthick, Sekar, Kavaskar, Text detection and recognition in raw image dataset of seven segment digital energy meter display, The article describes the collection of the dataset of raw images of digital energy meters display, text detection and recognition of seven segment numerals from collected samples that may be helpful in reducing the cost of advanced metering infrastructure (AMI). The presented dataset has tremendous potentials in fully automated optical character recognition (OCR) based electricity billing. The dataset has been named as ‘YUVA EB Dataset’ that has the collection of digital energy meter images. The images have been captured under day and night light conditions. The research work on recognizing the text from seven segment display in energy meters has been carried out using our dataset under the challenging text recognition conditions like tilted position, blurred, day and night light captured images. MSER and labeling method based OCR algorithm has been used for text detection and recognition., Aufsatz in Zeitschrift |
| title | Text detection and recognition in raw image dataset of seven segment digital energy meter display |
| title_auth | Text detection and recognition in raw image dataset of seven segment digital energy meter display |
| title_full | Text detection and recognition in raw image dataset of seven segment digital energy meter display Karthick Kanagarathinam, Kavaskar Sekar |
| title_fullStr | Text detection and recognition in raw image dataset of seven segment digital energy meter display Karthick Kanagarathinam, Kavaskar Sekar |
| title_full_unstemmed | Text detection and recognition in raw image dataset of seven segment digital energy meter display Karthick Kanagarathinam, Kavaskar Sekar |
| title_in_hierarchy | Text detection and recognition in raw image dataset of seven segment digital energy meter display / Karthick Kanagarathinam, Kavaskar Sekar, |
| title_short | Text detection and recognition in raw image dataset of seven segment digital energy meter display |
| title_sort | text detection and recognition in raw image dataset of seven segment digital energy meter display |
| topic | Aufsatz in Zeitschrift |
| topic_facet | Aufsatz in Zeitschrift |
| url | https://doi.org/10.1016/j.egyr.2019.07.004, https://www.sciencedirect.com/science/article/pii/S235248471930174X/pdfft?md5=644fc3da77a3f284f1f14f95231ece41&pid=1-s2.0-S235248471930174X-main.pdf, http://hdl.handle.net/10419/243632, https://creativecommons.org/licenses/by/4.0/ |