سیرت نبویﷺ کے منتخب موضوعات (نبوت، وحی اور معجزات) سے متعلق لزلے ہزلٹن کے آراء کا تحقیقی جائزہ

All mighty Allah (SWT) has created man and made him crown of the nature. For the physical needs of human being, Allah provided him all the needful things. In the same way, Allah (SWT) sent his prophets for the spiritual guidance of mankind. Prophet Muhammad (SAW) was the last messenger of this chain of the prophets. The Prophet hood of Muhammad (SAW) was for the whole of the mankind, for all the people till the day of judgment. Because Allah (SWT) called him the “Seal of the prophets”. And it the gift of Allah to whom he wants to give, he gives. Nobody can achieve this (prophet hood) by its struggle. All the prophets of Allah (SWT) were given instructions through revelation. Some people, who were unable to accept Islam, would make jokes of the teachings of the Prophet (SAW), but he continued his mission and the world witnessed a day when Islam spread all over the world. Some non-Muslims, specially the orientalists, tried to pin point some aspects of the life of the Holy Prophets (in their thinking) but as Allah (SWT) said: And we raised high your name. (Al-Quran: 94: 4) Lesley Hazelton is one of those orientalists. She wrote many books about Islam. Her famous book is “The First Muslim-The Story of Muhammad” in which she has targeted many aspects of the Holy Prophet Muhammad (SAW). This article discusses her views about the Prophet hood, Revelation and the Miracles of the Holy Prophet (SAW). It is out of the human mind to understand the reality of the Prophet hood and revelation. It is the gift of Allah to whom he wants, He gives prophet hood. The family, fame, wealth and physical strength cannot be the reasons for the achievement of Prophet hood. The human mind cannot grab the reality of the revelation. 

Fingerprint Distortion Removal and Enhancement by Effective Use of Contextual Filtering

Automated personal authentication has become increasingly important in our information driven society and in this regard fingerprint based personal identification is considered to be the most effective tool. In order to ensure reliable fingerprint identification and improve fingerprint ridge structure, novel fingerprint enhancement approaches are proposed based on local adaptive contextual filtering. This dissertation presents the aims and objectives of the research along with the motivation and proposed research approaches for fingerprint enhancement mentioned below. In the first part of this research, a twofold enhancement technique is proposed that involves processing both in frequency and spatial domain. The fingerprint image is first filtered in frequency domain and then local directional filtering in spatial domain is applied to obtain enhanced fingerprint. Two major advantages of the proposed enhancement technique are; avoiding the hazards of frequency estimation errors and making spatial domain filtering quite simple by using a global 1D Gaussian smoothing filter. In order to determine the performance evaluation of the proposed enhancement, extensive evaluation of the proposed method against well-known enhancement approaches has been carried out on publicly available standard databases. Experimental results demonstrate that proposed enhancement performs better as compared to other well-known enhancement techniques. In the second part of this work, a fingerprint image with non-uniform ridge frequencies is considered as a 2-D dynamic signal. A non-uniform stress on the sensor’s sensing area applied during fingerprint acquisition may result in a nonlinear distortion that disturbs the local frequency of ridges, adversely affecting the matching performance. This study presents a new approach based on short time Fourier transform (STFT) analysis and local adaptive contextual filtering for frequency distortion removal and enhancement. In the proposed approach, the whole image is divided into sub-images and local dominant frequency band and orientation are estimated. Gaussian Directional band pass filtering is then adaptively applied in frequency domain. These filtered sub-images are then combined using our proposed technique to obtain the enhanced fingerprint image of high ridge quality and uniform inter-ridge distance. Experimental results show efficacy of the proposed enhancement technique.