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قرآن کا تصورِ مذہب

Thesis Info

Author

حبیب الرحمٰن

Program

PhD

Institute

University of Karachi

City

کراچی

Language

Urdu

Keywords

فلسفہ مذہب

Added

2023-02-16 17:15:59

Modified

2023-02-16 17:33:40

ARI ID

1676730197306

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علامہ محمد بن صالح العثیمین

علامہ محمد بن صالح العثیمین
پچھلی صدی عیسوی کا اختتام عالم اسلام کی متعدد مایہ ناز شخصیات کی المناک وفات پر ہوا تھا، علامہ عبدالعزیز بن باز، مولانا سید ابوالحسن علی ندوی، شیخ ناصرالدین البانی اور شیخ محمد عمر فلاتہ جیسے آسمان علم و فضل کے آفتاب و ماہتاب اس کے کہر میں چھپ گئے تھے۔ اب اس صدی کا آغاز بھی ایک متواضع، منکسر المزاج اور درویش عالم کی اندوہ ناک وفات سے ہوا، جو علمی حلقوں میں ابن عیثمین کے نام سے مشہور و متعارف تھے۔
مرحوم سعودی عرب کے ایک قدیم معزز خاندان کے چشم و چراغ تھے، صوبہ قصیم کے شہر عنیزہ میں ان کی ولادت ہوئی، شیخ عبدالرحمن السعدی اور مشہور مفسر شیخ محمد امین شنقیطی سے اکتساب فیض کیا، شیخ السعدی ان کے ہم وطن اور ان کے ابتدائی استاد تھے اس لیے وہ ان سے زیادہ متاثر ہوئے اور ان کے انتقال کے بعد ان کے علمی جانشین مقرر ہوئے۔
مدۃالعمر عنیزہ میں تدریس، وعظ و ارشاد اور تصنیفِ رسائل میں مشغول و منہمک رہے، سعودی عرب میں شیخ ابن باز کے انتقال کے بعد علماء اور طلبہ علوم دینیہ کا مرکز وہی بن گئے تھے مگر شیخ ابن باز کی جدائی ان کو گوارا نہ ہوئی، ان کی وفات کو ابھی دو برس بھی نہیں گزرے تھے کہ شیخ عثیمین نے بھی رختِ سفر باندھا اور ان سے افادہ و استفادہ کا سلسلہ موقوف ہوگیا۔
جدہ کے ایک اسپتال میں ان کا انتقال ہوا، مکہ مکرمہ میں ان کی نماز جنازہ پڑھی گئی اور مقبرہ العدل میں شیخ ابن باز کے پہلو میں مدفون ہوئے۔ تقریباً پانچ لاکھ نفوس نے ان کے جنازہ کی مشایعت کی جن میں سربراہان مملکت بھی شامل تھے جو ان کی مقبولیت کا بین ثبوت ہے۔
علامہ مرحوم بڑے خلیق، متواضع اور سادگی پسند...

Kipling’s Depiction of the Great Game Between British India and Czarist Russia

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Ligature Recognition System for Printed Urdu Script Using Genetic Algorithm Based Hierarchical Clustering

This research article gives an across-the-board comprehensive review and survey of the most prominent studies in the field of Urdu Optical Character Recognition (OCR). This study introduces the OCR technology and presents a historical review of the OCR systems, providing comparisons between the English, Arabic and Urdu systems. Detailed background and literature have also been provided for Urdu script, discussing the script’s past, OCR categories and phases. The research paper further reports all state-of-the-art studies for different phases, namely, image acquisition, pre-processing, segmentation, feature extraction, classification/recognition and post-processing for an Urdu OCR system. In the segmentation section, the analytical and holistic approaches for Urdu text have been emphasized. In the feature extraction section, a comparison has been provided between the feature learning and feature engineering approaches. Deep learning and traditional machine learning approaches have been discussed. The Urdu numeral recognition systems have also been deliberated concisely. The research paper concludes by identifying some open problems and suggesting some future directions.