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Browsing Conference Paper by Title
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S. Kausar; M. K. Multani; B. Zahoor; A. Nazeer
(Bahria University Islamabad Campus, 2017)
Acupressure is an ancient Asian method of relieving pain and curing diseases. This paper presents our work on customized Augmented Reality Based Self-Treatment Using Acupressure (ARBASTUA) that uniquely uses facial symmetry ...
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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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Kashif Naseer Qureshi; Faisal Bashir; Abdul Hanan Abdullah
(Bahria University Islamabad Campus, 2018)
Wireless Body Area Networks (WBANs) are designed for sensing the patient vital signs and forward the data to medical doctors or medical centers for further process. The small size intelligent sensor nodes are planted inside ...
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Fasee Ullah; Abdul Hanan Abdullah; Marina Md Arshad; Kashif Naseer Qureshi
(Bahria University Islamabad Campus, 2017)
Wireless Body Area Network (WBAN) is the
cheapest solution using BioMedical Sensors. They monitor
different physiological vital signs of a patient. The output of vital
signs does not accept collision, delay, loss, and ...
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Khalid Mahmood Awan; Ahmad Ali; Farhan Aadil; Kashif Naseer Qureshi
(Bahria University Islamabad Campus, 2018)
Sensor based smart devices are becoming integral part of our life. With the advancement in sensor devices various automated systems based on sensors have been emerged. These systems automatically perform tasks on the basis ...
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Saima Jawad; Azhar Habib; Babar Ali
(Bahria University Islamabad Campus, 2014)
In the field of education, the need of combining learning with enjoyment can never be underestimated. In order to accomplish these goals, educational applications are widely being developedespecially for smart phones. Most ...
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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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Moneeb Gohar; Muhammad Muzammal; Arif-ur-Rahman; Jin-Ghoo Choi; Seok-Joo Koh
(Bahria University Islamabad Campus, 2018)
In existing PMIP-SAE based mobile networks, all the communication traffic go through the centralized Local Mobility Anchor (LMA). Hence the central node, LMA, suffers from huge packet processing overhead and the traffic ...
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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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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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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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Raja Waseem Anwar; Anazida Zainal; Majid Bakhtiari; Kashif Naseer Qureshi
(Bahria University Islamabad Campus, 2017)
Wireless sensor nodes have been deployed in the fields for sensing and monitoring the surrounding environment for the specific purpose. Deployment of sensors in the field is more challenging due to area coverage for ...
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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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Saeeda Naz; Arif Iqbal Umar; Saad Bin Ahmed; Syed Hamad Shirazi; M. Imran Razzak; Imran Siddiqi
(Bahria University Islamabad Campus, 2014)
Machine simulation of human reading has been a subject of intensive research for almost four decades. Automatic Urdu character recognition remains a challenging task due to its cursive nature despite the fact that the ...