Search Results - "Razzak, Muhammad I."

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  1. 1

    Deep OCR for Arabic script‐based language like Pastho by Naz, Saeeda, Khan, Naila H., Zahoor, Shizza, Razzak, Muhammad I.

    Published in Expert systems (01-10-2020)
    “…Developing cursive script recognition systems have always been a challenging task for researchers. This article proposes a ligature‐based recognition system…”
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    Journal Article
  2. 2

    Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features by Naz, Saeeda, Umar, Arif I., Ahmad, Riaz, Ahmed, Saad B., Shirazi, Syed H., Razzak, Muhammad I.

    Published in Neural computing & applications (01-02-2017)
    “…Character recognition for cursive script like Arabic, handwritten English and French is a challenging task which becomes more complicated for Urdu Nasta’liq…”
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    Journal Article
  3. 3

    Efficient leukocyte segmentation and recognition in peripheral blood image by Shirazi, Syed H, Umar, Arif Iqbal, Naz, Saeeda, Razzak, Muhammad I

    Published in Technology and health care (18-05-2016)
    “…Blood cell count, also known as differential count of various types of blood cells, provides valuable information in order to assess variety of diseases like…”
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    Journal Article
  4. 4

    Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey by Naz, Saeeda, Umar, Arif I., Shirazi, Syed H., Ahmed, Saad B., Razzak, Muhammad I., Siddiqi, Imran

    Published in Education and information technologies (01-09-2016)
    “…Arabic script based text recognition system has been a popular field of research for many years that can be used in the learning and teaching process to the…”
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    Journal Article
  5. 5

    Urdu Nastaliq recognition using convolutional–recursive deep learning by Naz, Saeeda, Umar, Arif I., Ahmad, Riaz, Siddiqi, Imran, Ahmed, Saad B, Razzak, Muhammad I., Shafait, Faisal

    Published in Neurocomputing (Amsterdam) (21-06-2017)
    “…Recent developments in recognition of cursive scripts rely on implicit feature extraction methods that provide better results as compared to traditional…”
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    Journal Article
  6. 6

    Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks by Naz, Saeeda, Umar, Arif I., Ahmad, Riaz, Ahmed, Saad B., Shirazi, Syed H., Siddiqi, Imran, Razzak, Muhammad I.

    Published in Neurocomputing (Amsterdam) (12-02-2016)
    “…Optical Character Recognition of cursive scripts remains a challenging task due to a large number of character shapes, inter- and intra-word overlaps, context…”
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    Journal Article