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Browsing Departmental Publications (BUIC) 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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Haris Bin Nazar; Momina Moetesum; Shoaib Ehsan; Imran Siddiqi; Khurram Khurshid; Nicole Vincent; Klaus D. McDonald-Maier
(Bahria University Islamabad Campus, 2017)
Graphomotor impressions are a product of complex cognitive, perceptual and motor skills and are widely used as psychometric tools for the diagnosis of a variety of neuro-psychological disorders. Apparent deformations in ...
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Nizwa Javed; Safia Shabbir; Imran Siddiqi; Khurram Khurshid
(Bahria University Islamabad Campus, 2017)
Urdu Nasteleeq text recognition is one of the very challenging problems in document image processing. The cursive nature of Urdu script makes character segmentation very difficult. Therefore, most of the researchers have ...
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Safia Shabbir; Nizwa Javed; Imran Siddiqi; Khurram Khurshid
(Bahria University Islamabad Campus, 2017)
Clustering is a pivotal step in any Optical Character Recognition (OCR) or Word Spotting system. It serves as a base for the classification and indexing of different words or characters depending upon the level of segmentation. ...
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Momina Moetesum; Imran Siddiqi; Chawki Djeddi; Yaacoub Hannad; Somaya Al-Maadeed
(Bahria University Islamabad Campus, 2018)
This paper presents a study on assessing the effectiveness
of machine learned features to predict gender of
writers from images of handwriting. Pre-trained Convolutional
Neural Networks have been employed as feature ...
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Zumra Malik; Imran Siddiqi
(Bahria University Islamabad Campus, 2014)
Automatic detection and recognition of road signs is an important component of automated driver assistance systems contributing to the safety of the drivers, pedestrians and vehicles. Despite significant research, the ...
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Hira Begum; Saima Shaheen; Momina Moetesum; Imran Siddiqi
(Bahria University Islamabad Campus, 2017)
Smart phones with high resolution cameras have enabled innovative computer vision applications that apply techniques like real-time image processing and virtual reality to provide a close approximation of reality. In this ...
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Hira Begum; Saima Shaheen; Momina Moetesum; Imran Siddiqi
(Bahria University Islamabad Campus, 2017)
Smart phones with high resolution cameras have enabled innovative computer vision applications that apply techniques like real-time image processing and virtual reality to provide a close approximation of reality. In this ...
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Chawki Djeddi; Labiba Souici Meslati; Imran Siddiqi; Abdelllatif Ennaji; Haikal El Abed; Abdeljalil Gattal
(Bahria University Islamabad Campus, 2014)
Biometric identification of persons has mainly been based on fingerprints, face, iris and other similar attributes. We propose a handwriting-based biometric identification system using a large database of Arabic handwritten ...
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Maria Siddiqui; Imran Siddiqi; Khurram Khurshid
(Bahria University Islamabad Campus, 2018)
The efficiency of any machine learning and computer vision system depends largely on the robustness of feature extraction and selection process. In word spotting applications, many appropriate features have been proposed ...
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Dr Shehzad Khalid; Uzma Naqvi; Imran Siddiqi
(Bahria University Islamabad Campus, 2015)
Identification of individuals from handwritten documents using automated recognition systems has gained significant research interest due to the wide variety of applications it offers for forensic analysis, signature ...
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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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Israr Uddin; Imran Siddiqi; Shehzad Khalid
(Bahria University Islamabad Campus, 2017)
Optical Character Recognition (OCR) is one of the continuously explored problems. Presently, commercial character recognizers are available reporting near to 100% recognition rates on text in a number of scripts. Despite ...
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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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Abdeljalil Gattal; Youcef Chibani; Chawki Djeddi; Imran Siddiqi
(Bahria University Islamabad Campus, 2014)
This paper investigates the combination of different statistical and structural features for recognition of isolated handwritten digits, a classical pattern recognition problem. The objective of this study is to improve ...
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Dr Shehzad Khalid; Israr-ud-din; Imran Siddiqi
(Bahria University Islamabad Campus, 2015)
This paper presents a technique for segmentation of printed Urdu text images into lines and ligatures, a key pre-processing step in Urdu Optical Character Recognition (OCR) systems. Unlike classical projection profile based ...
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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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Mehreen Ahmed; Imran Siddiqi; Hammad Afzal; Behram Khan
(Bahria University Islamabad Campus, 2017)
Multiple classifiers for prediction or classification
has gained popularity in recent years. Ensemble Technique
perform best predictions as compared to traditional classifiers.
This has resulted in the experimentation ...
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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 ...