9786203928808 - hindi handwritten character recognition using deep neural network de mehta, dr. abhishek r.; desai, dr. subhashchandra; chaturvedi, dr. ashish (5 resultados)
Hindi Handwritten Character Recognition Using Deep Neural Network
Dr. Abhishek R. Mehta|Dr. Subhashchandra Desai|Dr. Ashish Chaturvedi
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Librería: moluna, Greven, Alemaniamoluna
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EUR 78,26
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Condición: New.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Hindi Handwritten Character Recognition Using Deep Neural Network | Abhishek R. Mehta (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203928808 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]d…e | Anbieter: preigu.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Handwritten character affirmation is a huge issue of account examination and affirmation. Composing has seen diverse such works that do this endeavour. A larger piece of this work exists for Latin, Chinese, and Arabic anyway unequiv…ocally fewer works exist for Hindi substance. This hypothesis is an undertaking towards thinking about existing work and develop new methodologies to improve the exactness of separated interpreted Hindi character affirmation structures. A proposed incorporate extraction methodology, to be explicit frontal zone sub-examining (FS), which relies upon the level and vertical projection computation at each granularity level to find the division canters or feature canters. We further proposed a methodology through which the estimation of level and vertical projection at each granularity level ends up being brisk and capable by using vertical and even central pictures. If the model picture is 90 by 90 estimated by FS procedure at granularity level 3, 62100 extension (+) errands are expected to find 85 division canters, while in our proposed strategy only 18000 increments (+) exercises are adequate to deal with comparative features. 460 pp. Englisch.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 98,90
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Handwritten character affirmation is a huge issue of account examination and affirmation. Composing has seen diverse such works that do this endeavour. A larger piece of this work exists for Latin, Chinese, and Arabic anyway unequivocal…ly fewer works exist for Hindi substance. This hypothesis is an undertaking towards thinking about existing work and develop new methodologies to improve the exactness of separated interpreted Hindi character affirmation structures. A proposed incorporate extraction methodology, to be explicit frontal zone sub-examining (FS), which relies upon the level and vertical projection computation at each granularity level to find the division canters or feature canters. We further proposed a methodology through which the estimation of level and vertical projection at each granularity level ends up being brisk and capable by using vertical and even central pictures. If the model picture is 90 by 90 estimated by FS procedure at granularity level 3, 62100 extension (+) errands are expected to find 85 division canters, while in our proposed strategy only 18000 increments (+) exercises are adequate to deal with comparative features.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 460 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 100,09
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Handwritten character affirmation is a huge issue of account examination and affirmation. Composing has seen diverse such works that do this endeavour. A larger piece of this work exists for Latin, Chinese, and Arabic anyway unequivocall…y fewer works exist for Hindi substance. This hypothesis is an undertaking towards thinking about existing work and develop new methodologies to improve the exactness of separated interpreted Hindi character affirmation structures. A proposed incorporate extraction methodology, to be explicit frontal zone sub-examining (FS), which relies upon the level and vertical projection computation at each granularity level to find the division canters or feature canters. We further proposed a methodology through which the estimation of level and vertical projection at each granularity level ends up being brisk and capable by using vertical and even central pictures. If the model picture is 90 by 90 estimated by FS procedure at granularity level 3, 62100 extension (+) errands are expected to find 85 division canters, while in our proposed strategy only 18000 increments (+) exercises are adequate to deal with comparative features.
