ISBN: 9786203928808 - hindi handwritten character recognition using deep neural network (4 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2021

    6203928801 / 9786203928808

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 78,26

    Envío por EUR 48,99 
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    Cantidad disponible: Más de 20 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jul 2021, 2021

    6203928801 / 9786203928808

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 98,90

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    Cantidad disponible: 2 disponibles

    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 unequivocally 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. …

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2021

    6203928801 / 9786203928808

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 106,18

    Envío por EUR 35,00 
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    Cantidad disponible: 1 disponible

    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 unequivocally 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. …

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jul 2021, 2021

    6203928801 / 9786203928808

    • Tapa blanda
    • Impresión bajo demanda

    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 98,90

    Envío por EUR 60,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    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 unequivocally 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. …