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نعت

نعت

تجمل حسین تجمل قادری

وادیءِ سرورِ ﷺلَولاک میں گُم ہو جاؤں
مَیں مدینے کی حسِیں خاک میں گُم ہو جاؤں
کاش سرکار ﷺکے نعلَین کا ذرّہ ہوکر
مُسکراتے ہوئے اَفلاک میں گُم ہو جاؤں
اے خدا اِتنا بڑھا دے تُو مِرا رزقِ سُخَن
راحتِ قَلب کی خوراک میں گُم ہو جاؤں
حرف مِدحَت کے اُترتے ہیں مِرے سِینے میں
جب کبھی دیدہءِ نَمناک میں گُم ہو جاؤں
آج ہوجائے عطا مقطعِ انوار کوئی
آج پھر مطلعِ اِدراک میں گُم ہو جاؤں
اِس قدر تُونے تراشے ہیں خدوخالِ حیات
دِل یہ کرتا ہے تِرے چاک میں گُم ہو جاؤں
جب تلک وَصل کی راحت نہ میسّر آئے
کیوں نہ پھر ہِجر کی پوشاک میں گُم ہو جاؤں
اَب تو بَس ایک ہی خواہش ہے تجّمُل میری
مدحتِ پَنجتنِ پاک میں گُم ہو جاؤں

ٹریڈمارک، کاپی رائٹ اور حقوق کی خرید و فروخت کا شرعی جائزہ

There are many things which would not be bought or sold in earlier ages but these days they are considered great wealth and precious capital and their transaction is in vogue and  they are titled as  rights. For instance, literary copyright and copyright of music and trade mark etc. Now the need of the hour is to understand the Islamic solution of the trade of these different kinds of rights. This article reviews the copyright issue in the light of islam.

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.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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