Search Results - "Razzak, Muhammad Imran"

The optical character recognition of Urdu-like cursive scripts by Naz, Saeeda, Hayat, Khizar, Imran Razzak, Muhammad, Waqas Anwar, Muhammad, Madani, Sajjad A., Khan, Samee U.

“…We survey the optical character recognition (OCR) literature with reference to the Urdu-like cursive scripts. In particular, the Urdu, Pushto, and Sindhi…”
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A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning by Rehman, Arshia, Naz, Saeeda, Razzak, Muhammad Imran, Akram, Faiza, Imran, Muhammad

“…Brain tumors are the most destructive disease, leading to a very short life expectancy in their highest grade. The misdiagnosis of brain tumors will result in…”
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Automatic Visual Features for Writer Identification: A Deep Learning Approach by Rehman, Arshia, Naz, Saeeda, Razzak, Muhammad Imran, Hameed, Ibrahim A.

“…Identification of a person from his writing is one of the challenging problems; however, it is not new. No one can repudiate its applications in a number of…”
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A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions by Ahmed, Saad Bin, Naz, Saeeda, Razzak, Muhammad Imran, Yusof, Rubiyah Bte

“…The recognition of text in natural scene images is a practical yet challenging task due to the large variations in backgrounds, textures, fonts, and…”
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Arabic Cursive Text Recognition from Natural Scene Images by Ahmed, Saad, Naz, Saeeda, Razzak, Muhammad, Yusof, Rubiyah

“…This paper presents a comprehensive survey on Arabic cursive scene text recognition. The recent years’ publications in this field have witnessed the interest…”
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Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience by Ahmed, Saad Bin, Hameed, Ibrahim A., Naz, Saeeda, Razzak, Muhammad Imran, Yusof, Rubiyah

“…The similar nature of patterns may enhance the learning if the experience they attained during training is utilized to achieve maximum accuracy. This paper…”
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Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR by SAEEDA NAZ, ARIF IQBAL UMAR, MUHAMMAD IMRAN RAZZAK

“…Arabic script character recognition is challenging task due to complexity of the script and huge number of ligatures. We present a method for the development…”
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Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks by Razzak, Muhammad Imran, Imran, Muhammad, Xu, Guandong

“…Manual segmentation of the brain tumors for cancer diagnosis from MRI images is a difficult, tedious, and time-consuming task. The accuracy and the robustness…”
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A Hybrid Approach for NER System for Scarce Resourced Language-URDU: Integrating n-gram with Rules and Gazetteers by SAEEDA NAZ, ARIF IQBAL UMAR, MUHAMMAD IMRAN RAZZAK

“…We present a hybrid NER (Name Entity Recognition) system for Urdu script by integration of n-gram model (unigram and bigram), rules and gazetteers. We used…”
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Big data analytics for preventive medicine by Razzak, Muhammad Imran, Imran, Muhammad, Xu, Guandong

“…Medical data is one of the most rewarding and yet most complicated data to analyze. How can healthcare providers use modern data analytics tools and…”
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Writer identification using machine learning approaches: a comprehensive review by Rehman, Arshia, Naz, Saeeda, Razzak, Muhammad Imran

“…Handwriting is one of the most common types of questioned writing encountered and frequently attracts the attention in litigation. Contrary to the…”
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Refining Parkinson’s neurological disorder identification through deep transfer learning by Naseer Amina, Monail, Rani, Naz Saeeda, Razzak, Muhammad Imran, Imran, Muhammad, Xu Guandong

“…Parkinson’s disease (PD), a multi-system neurodegenerative disorder which affects the brain slowly, is characterized by symptoms such as muscle stiffness,…”
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Handwritten Urdu character recognition using one-dimensional BLSTM classifier by Ahmed, Saad Bin, Naz, Saeeda, Swati, Salahuddin, Razzak, Muhammad Imran

“…The recognition of cursive script is regarded as a subtle task in optical character recognition due to its varied representation. Every cursive script has…”
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Retraction Note: Refining Parkinson’s neurological disorder identification through deep transfer learning by Naseer, Amina, Rani, Monail, Naz, Saeeda, Razzak, Muhammad Imran, Imran, Muhammad, Xu, Guandong

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Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling by Razzak, Muhammad Imran, Alhaqbani, Bandar

“…Signature recognition is one of the most important biometrics authentication methods, is an integral part of current business activities, and is considered a…”
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Evaluation of cursive and non-cursive scripts using recurrent neural networks by Ahmed, Saad Bin, Naz, Saeeda, Razzak, Muhammad Imran, Rashid, Shiekh Faisal, Afzal, Muhammad Zeeshan, Breuel, Thomas M.

“…Character recognition has been widely used since its inception in applications involved processing of scanned or camera-captured documents. There exist…”
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Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks by Naz, Saeeda, Umar, Arif Iqbal, Ahmed, Riaz, Razzak, Muhammad Imran, Rashid, Sheikh Faisal, Shafait, Faisal

“…The recognition of Arabic script and its derivatives such as Urdu, Persian, Pashto etc. is a difficult task due to complexity of this script. Particularly,…”
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RETRACTED ARTICLE: Refining Parkinson’s neurological disorder identification through deep transfer learning by Naseer, Amina, Rani, Monail, Naz, Saeeda, Razzak, Muhammad Imran, Imran, Muhammad, Xu, Guandong

“…Parkinson’s disease (PD), a multi-system neurodegenerative disorder which affects the brain slowly, is characterized by symptoms such as muscle stiffness,…”
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Extreme learning machine based microscopic red blood cells classification by Shirazi, Syed Hamad, Umar, Arif Iqbal, Haq, NuhmanUl, Naz, Saeeda, Razzak, Muhammad Imran, Zaib, Ahmad

“…The digitalization of blood slides introduced pathology to a new era. Despite being the most powerful prognostic tool; automated analysis of microscopic blood…”
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Sparse Support Matrix Machines for the Classification of Corrupted Data by Razzak, Muhammad Imran

“…Data acquisition has improved substantially over recent years, with devices acquiring data at faster rates and increased resolution. The interpretation…”
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