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Browsing Published Articles by Author "Imran Siddiqi"
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Imran Siddiqi; Chawki Djeddi; Ahsen Raza; Labiba Souici meslati
(Bahria University Islamabad Campus, 2014)
This paper presents a study to predict gender of individuals from scanned images of their handwritings. The proposed methodology is based on extracting a set of features from writing samples of male and female writers and ...
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Abdeljalil Gattal; Chawki Djeddi; Imran Siddiqi; Youcef Chibani
(Bahria University Islamabad Campus, 2018)
Classification of gender from images of handwriting is an interesting research problem in computerized analysis of handwriting. The correlation between handwriting and gender of writer can be exploited to develop intelligent ...
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Mahreen Ahmed; Asma Ghulam Rasool; Hammad Afzal; Imran Siddiqi
(Bahria University Islamabad Campus, 2017)
This paper presents a system to predict gender of individuals from offline handwriting samples. The tech- nique relies on extracting a set of textural features from handwriting samples of male and female writers and training ...
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Shahid Ismail; Imran Siddiqi; Usman Akram
(Bahria University Islamabad Campus, 2018)
Phonocardiogram (PCG) signal represents recording of sounds and murmurs resulting from heart auscultation. Analysis of these PCG signals is critical in diagnosis of different heart diseases. Over the years, a variety of ...
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A. JamilAkhtar Jamil; Azra Batool; Zumra Malik; Ali Mirza; Imran Siddiqi
(Bahria University Islamabad Campus, 2016)
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Younes Akbari; Mohammad J. Jalili; Javad Sadri; Kazem Nouri; Imran Siddiqi; Chawki Djeddi
(Bahria University Islamabad Campus, 2017)
This paper introduces a database of Persian handwritten bank checks. The database includes legal amounts, courtesy amounts, dates, receiver names, signatures and account numbers. In addition to checks, the database also ...
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Romana Talat; M. Muzammal; Imran Siddiqi
(Bahria University Islamabad Campus, 2016)
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Israr Ud Din; Imran Siddiqi; Shehzad Khalid; Tahir Azam
(Bahria University Islamabad Campus, 2017)
This paper presents a segmentation-free optical character recognition system for printed Urdu Nastaliq font using ligatures as units of recognition. The proposed technique relies on statistical features and employs Hidden ...