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OpenAlex konusu

Handwritten Text Recognition Techniques

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 731 eser 47 yazar konusu

Çalışmalar

731 eser

  1. OpenAlex üst %10 OpenAlex 97.8%

    Character recognition (CR) has been extensively studied in the last half century and has progressed to a level that is sufficient to produce technology-driven applications. Now, rapidly growing computational power is enabling the implementation of the present CR methodologies and is creating an increasing demand in ma…

  2. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.3%

    Özet henüz yok.

  3. OpenAlex üst %10 OpenAlex 95.6%

    A new analytic scheme, which uses a sequence of image segmentation and recognition algorithms, is proposed for the off-line cursive handwriting recognition problem. First, some global parameters, such as slant angle, baselines, stroke width and height, are estimated. Second, a segmentation method finds character segme…

  4. OpenAlex üst %10 OpenAlex 92.3%

    In many different fields, there is a high demand for storing information to a computer storage disk from the data available in printed or handwritten documents or images to later re-utilize this information by means of computers. One simple way to store information to a computer system from these printed documents cou…

  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.3%

    Özet henüz yok.

  6. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.3%

    Özet henüz yok.

  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.3%

    Özet henüz yok.

  8. YÖKSİS OpenAlex üst %10 OpenAlex 98.2%

    Automatic Vehicle Identification (AVI) has many applications in traffic systems (highway electronic toll collection, red light violation enforcement, border and customs checkpoints, etc.). License Plate Recognition is an effective form of AVI systems. In this study, a smart and simple algorithm is presented for vehicl…

  9. OpenAlex üst %10 OpenAlex 94.8%

    We present an offline signature verification system based on a signature's local histogram features. The signature is divided into zones using both the Cartesian and polar coordinate systems and two different histogram features are calculated for each zone: histogram of oriented gradients (HOG) and histogram of local…

  10. YÖKSİS SJR Q2 JCR Q3 OpenAlex üst %10 OpenAlex 93.0%

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  11. OpenAlex 84.7%

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  12. YÖKSİS SJR Q2 JCR Q3 OpenAlex 84.5%

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Akademisyenler

47 akademisyen