"I don't have any communication with them and I don't want to have anything to do with them," Mohammad Mannan, Nasrin and Raihan’s father told NBC News. While Kahn and Nasrin are now working in a hospital in Raqqa, ISIS’s main location in Syria, it’s said that Raihan was killed. Two months later it was known that they were in Syria, specifically Tel Abyad, a city captured by ISIS. Raihan soon moved in with Nasrin and Kahn, living in an building former home to Christopher Paul, an American arrested for training al-Qaeda bomb-makers to attack U.S and European targets. In 2013, Raihan, suffering from depression, was influenced by his sister to convert to Islam. Nasrin soon moved to California to marry Kahn, and both returned to Ohio so that Nasrin could attend The Ohio State University. "She was probably one of the smartest and most functioning people in the school, and that was a pretty high standard," Zach Brazik, a student who went to Metro High School with Nasrin, told NBC News. Growing up, Nasrin attended Metro Early College High School in Columbus, receiving a 4.0 she was one of the top in her class. Nasrin immigrated to Ohio in 2000 from Bangladesh with her brother, Raihan, and her parents.
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited ( CC BY 4.0 ).Next, Kahn set out on the internet to find a wife on a Muslim dating site, which is how he found Nasrin. Shafiur Raihan Shafi, and Amit Kumar Kundu, "A Bag-of-Words Based Feature Extraction Scheme for American Sign Language Number Recognition from Hand Gesture Images," International Journal of Machine Learning and Computing vol. (e-mail: Shafiur Raihan Shafi is with the Department of Computer ScienceĪnd Engineering, Southeast University, Dhaka, Bangladesh Kumar Kundu was with the Department of Electrical andĮlectronics Engineering, Uttara University, Dhaka, Bangladesh Rasel Ahmed Bhuiyan, Abdul Matin, Md. Rasel Ahmed Bhuiyan and Abdul Matin are with the Department ofĬomputer Science and Engineering, Uttara University, Dhaka, Bangladesh Gesture recognition (HGR), American sign language (ASL), Index Terms-Human computer interaction (HCI), hand
For validation, very largeĮxperiments are done on two large ASL number-recognitionĭatasets the proposed method shows superior performance inĬlassifying the numbers, achieving an F1 score of 99.92% in the Neighbors (kNN) classifier is employed utilizing the BoW For the purpose of classification, the K-nearest Shown to provide distinguishable features for classification ofĪSL numbers. Next, the vocabularies are used as bin centersįor BoW histogram construction. In this method, theįirst step is to obtain the set of representative vocabularies byĪpplying a K-means clustering algorithm to a few randomlyĬhosen images. On a bag-of-words (BoW) model for automatic recognition ofĪmerican Sign Language (ASL) numbers. Images is a tough task because of the many parametersĪssociated with them. In addition, feature extraction from hand gesture In this field, however, highĪccuracy and robustness are both needed both present a majorĬhallenge.
Of applications exists for hand gesture recognition techniques,
The interaction between humans and machines. Shafiur Raihan Shafi, and Amit Kumar KunduĪbstract-Human Computer Interaction (HCI) focuses on