مولانا احمد سعید
افسوس ہے کہ مولانا احمد سعید صاحب صدر جمعیۃ علمائے ہند نے ۴؍ دسمبر کو انتقال فرمایا، مولانا مرحوم ان علمائے دین میں تھے جن کی پوری زندگی ملک و ملت کی خدمت میں گزری۔ وہ جنگ آزادی کے نامور مجاہد تھے اور اس راہ میں بارہا قیدوبند کی مصیبتیں جھیلیں، مولانا کفایت اﷲ صاحب اور مولانا حسین احمد صاحب مرحوم کے بعد اس طبقہ کے علماء میں ایک مولانا احمد سعید ہی کی ذات رہ گئی تھی۔ وہ بھی ہم سے جدا ہوگئے۔
افسوس کز قبیلۂ مجنون کسے نماند
دینی، ملی اور سیاسی خدمات کے ساتھ مولانا بڑے خوش بیان خطیب تھے، دلی کی ٹکسالی زبان بولتے تھے، باتیں کرتے تو منہ سے پھول جھڑتے تھے، شرافت اور وضعداری میں بھی دلی کی پرانی تہذیب کا نمونہ تھے، طبعاً بڑے زندہ دل اور خوش مذاق تھے جس محفل میں بیٹھتے تھے اپنی باتوں سے پوری محفل کو مائل کرلیتے تھے۔ عرصہ ہوا ایک سیاسی مقدمہ کے سلسلہ میں ان کو کچھ دنوں اعظم گڑھ میں رہنا پڑا تھا۔ دارالمصنفین میں قیام تھا۔ اعظم گڑھ ہی کی عدالت سے ان کو سزا ہوئی اور یہیں کے جیل میں قید ہوئے، اس لیے مولانا کو قریب سے دیکھنے کا موقع ملا، اسی زمانہ سے ان کے حسن اخلاق اور پرلطف صحبت کا جو نقش قائم ہوا تھا وہ اب تک باقی ہے۔ مولانا اپنے دور کی آخری یادگار تھے۔ اس لیے ان کی وفات سے ایک دور کا خاتمہ ہوگیا، اﷲ تعالیٰ اس خادم دین و ملت کو اپنی بے پایاں رحمت و مغفرت سے سرفراز فرمائے۔
(شاہ معین الدین ندوی، دسمبر ۱۹۵۹ء)
Women have played an important role in the society sine time immemorial. In our era they are faced with even more responsibility but at the same time are also confronted with a lot of problems. In our part of the world some cultural attitudes still discourage them from getting their established rights. The factors responsible for this phenomenan interalaia include societal norms, orthodoxy and some social customs contrary to Islamic instructions. For instance discrimination against women could be in terms of inadequate nutrition, denial or limited access to education, health and property rights, child labour, domestic violence and forceful marriage. The Islamic instructions, derived from the Qur’┐n and Sunnah, clearly describe women’s rights but, due to some socio-religious customs and undesirable behaviour, her societal status and role has been badly affected. In this paper, some social customs have been analyzed in the context of Islamic instructions in order to provide academic material for bringing positive change in the society.
Subspace based algorithms belong to one of the most explored face recognition algorithm categories which follow a holistic approach for feature extraction. These methods operate directly on the pixel intensities of a facial image and extract features. The basic trait of these algorithms is that they reduce dimensionality to reduce the computational complexity of feature extraction while keeping the statistical separation between different classes. Therefore these algorithms are the economical choice for feature extraction. These algorithms are based on the key concept that most of the information in a facial image is highly redundant and that the discriminating features reside in a subspace of the face image. Therefore these algorithms aim to extract these features by reducing the redundant and non-discriminating information. The choice of a classifier is the key factor in designing an efficient pattern classification system. This choice very closely relates to the data on which it is going to be applied. Another important issue is the irrelevancy in reported results of different classifiers. The evaluation criterion which is set for evaluating a specific classifier plays a significant role in determining the true potential of a proposed classifier. There is a need to evaluate these reported classifiers using the same evaluation criterion to judge the suitability of each classifier for a specific imaging condition. For face recognition, a surfeit of classifiers has been proposed to date but none of them alone is capable enough to cater with all the inherent variations of the facial image data. Therefore there is a need to explore combinations of classifiers known as ensemble classifiers. As different classifiers extract complementary features of the object to be classified, therefore combining the properties of individual classifiers in an ensemble classifier does result in increased classification accuracy. The overall suitability of this ensemble classifier depends on the memory and computational complexities of the constituent base classifiers. VI In this thesis, a newly reported and highly cited face recognition algorithm Laplacianfaces is initially explored for its true potential by varying its internal and external parameters for different face recognition tasks. Based on the outcome of this initial analysis, other famous subspace face recognition algorithms are also evaluated by using distance metrics both from the image space and mahalanobis space. This evaluation was performed by using the evaluation methodology employed in Face Recognition Vendor Tests (FRVT) and FERET evaluations. These algorithms are evaluated against various probe sets from three different and famous facial databases namely FERET, ORL and YALE. This study hence provides enough testing variables to judge the performance of algorithms against different imaging conditions or facial variations. Based on this exhaustive comparative analysis, a group of six most accurate and most economical classifiers are selected. Ensemble classifiers with combinations ranging from two to six of these best selected base classifiers are evaluated against the same testing conditions. The ensemble classifiers are constructed by combining base classifiers using two simple ensembling techniques namely re-ranking and weighted scoring approach. The average performance of this ensemble classifier also called unified classifier is found to be well ahead of that for the individual constituent base classifiers. The work reported in this study proves the effectiveness of ensemble classifiers for face recognition tasks. The results of the proposed unified classifier in comparison to the best performing subspace algorithms demonstrate that the unified classifier has a global performance and can handle different variations effectively.