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مولانا شاہد فاخری الٰہ آبادی

مولانا شاہد فاخری الہٰ آبادی
افسوس ہے پچھلے دنوں مولانا شاہد فاخری الہٰ آبادی کاانتقال ہوگیا۔مرحوم دائرہ اجملیہ الٰہ آباد کے سجادہ نشین،خلافت تحریک کے عظیم قائد اورشعلہ بیان مقرر مولانا فاخر الٰہ آبادی کے خلف الرشید اوران کی روایات وخصوصیات کے بدرجۂ اتم حامل تھے چنانچہ انھوں نے بھی ساری عمر آزادی سے پہلے اورآزادی کے بعد کی قومی وملی تحریکات میں گزار دی۔
والدؒ کی طرح شعلہ بیان اورنہایت پُرجوش خطیب تھے۔آخر تک کانگریس اورجمعیۃ علمائے ہند سے وابستہ رہے اوراس سلسلہ میں قیدوبند کے محن سے بھی دوچار ہوئے۔ان کی زندگی سراپا ایثار وخلوص تھی۔حق بات کہنے میں نہایت جری اوربیباک تھے۔ ان کاقومی اورملی حلقوں میں بڑا احترام اوروقار تھا۔آزادی کے بعد انھوں نے جس جرأت وجسارت سے مسلم کاز کی حمایت کی وہ ان کا طغرائے امتیاز تھا۔پنڈت جواہر لال نہرو اوران کے خاندان سے ان کے ذاتی اوربے تکلفانہ تعلقات تھے۔مگر پنڈت جی کے سامنے بھی وہ حق بات کہنے میں کبھی نہیں ہچکچائے جس کی وجہ سے پنڈت جی ان کی بڑی قدرکرتے تھے۔اللھم اغفرلہ وارحمہ۔ [اکتوبر۱۹۷۵ء]

Compatibility of Education and Training in the Light of the Seerah of the Holy Prophet

Humankind has been granted a special status due to its being vicegerent of Allah on earth for he has been entrusted with the responsibility to keep order in the world according to the directives of its Creator. Humans are guided by Prophets in history. Some of these Prophets have got greater value, sphere and depth of influence on humanity due to different factors. Muhammad (Peace Be Upon Him) is the last Prophet of Allah, for the eternity and whole humanity. After him, Islam is completed for all times to come. Islam is a complete code of life; education and training constituting its crux. Prophet Muhammad (Peace Be Upon Him) was greatly concerned and cognizant of education and training of his followers which is evident from multifarious events of his life.  Major emphasis was laid on training coupled with education and both are, thus, inevitably interlocked with each other. It is clear that education was considered an assimilation of knowledge and training was taken as its reflection in daily life. The verses of the Holy Quran and sayings of the Holy Prophet (Peace Be Upon Him) bear a perfect testimony to this aspect of foremost significance. The earlier people in the fold of Islam were much concerned about training and nurturing, hence they avoided mere memorization of facts. The present paper is an attempt to discover the compatibility between education and training in the light of the paradigm of secret of the Prophet (Peace Be Upon Him) of Islam.

Towards Facial Asymmetry Based Face Recognition

Face recognition, as an active research area over the past three decades, still poses many challenges. Recognition of age-separated face images (age invariant face recognition) based on facial asymmetry is one of such challenges. Successful solutions to this recognition paradigm would allow the facial photographs to be matched against face images with temporal variations. Facial asymmetry, which refers to non-correspondence in shape, size, and arrangement of facial landmarks on both sides of the face, is an intrinsic recognition-specific facial feature used for face recognition task. The contributions of this dissertation are focused on recognition of age-separated face images using facial asymmetry. We introduce to use a feature description scheme suitable to represent facial asymmetry. The introduced feature description is adaptable to recognize age-separated face images and extract demographic information such as age group, gender, and race from a given face image. Based on the introduced feature description, this dissertation offers the following three main contributions to recognize age-separated face images. The first contribution is a matching-scores space based approach to recognize age separated face images. In the proposed framework, matching scores of holistic, local, and asymmetric facial features are combined in a matching-score space (MSS) with Support Vector Machine (SVM) as a classifier to separate genuine and imposter classes. Experimental results on three publically available benchmark facial aging databases show the efficacy of proposed approach compared to some existing state-of-the-art approaches. The second contribution is focused on the role of facial asymmetry based age group estimation in recognizing age-separated face images. We provide a hierarchical approach to perform age group estimation task. The role of various asymmetric facial regions in recognizing age-separated face images of different age groups is investigated. We integrate the knowledge learned from age group estimation into face recognition algorithm to enhance the recognition performance of age-separated face images. The viability of this approach is demonstrated on two benchmark facial aging databases. The experimental results suggest that integration of age group estimates into face recognition algorithm enhances the recognition performance of age separated face images, considerably. The third contribution is examination of the role of facial asymmetry in demographic estimation (i.e. age group, gender, and race) of a query face image in a face recognition system. The role of different asymmetric facial regions in recognizing face images with different demographic attributes is presented. We integrate the demographic estimates into a face recognition algorithm to enhance the recognition accuracy of age-separated face images. Experiments are conducted on benchmark facial aging databases to validate the performance of proposed approach. The experimental results suggest that proposed approach is more adaptable to recognize age-separated face images compared to some existing state-of-the-art methods.
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