I’Jaz Al-Qur’an Al-Karim an Evaluation of Historical Discourse and Dimensions

This paper aims at an evaluation of various approaches to define and redefine the classical theory of the I‘jaz (the inimitability of the Qur’ān) in the perspective of the challenges and problems faced by the Muslim society emphasising a need to cope with the rational thinking, modernity, scientific progress, psychological advancement and civilizational development, though there has been a comparatively lesser description of the rhetoricism of the Qur’ān too. It provides an account of scholarship exploring some novel dimensions of the matchlessness of the Qur’ān in the contemporaneous context. They have justified rationally and psychologically the Qur’ānic historic challenge of producing a book or its some surahs or few verses similar to the Qur’ān that has offered the irresistible call to the whole mankind: “Say: “If the whole of mankind and Jinns were to gather together to produce the like of this Qur’ān, they could not produce the like thereof, even if they backed up each other with help and support”. (Al-Isra 17: 88) The same challenge occurs in the Qur’ān on three previous occasions (Al-Baqarah, 2: 23-24; Yunus 10: 38, and Hūd 11: 13) and later also in al-Tūr (52: 33-34). The content of all the verses referred to above is in response to the allegation of the unbelievers that the Qur’ān had been composed by the Prophet (peace be on him) and then falsely ascribed to God. All this was refuted. This refutation of the Qur’ān was logically established by the modern Arabic scholars through their sound arguments.

A Security System Employing Edge-Based Rasterstereography

The present research is related to human-face recognition using edge-based rasterstereography, which has the potential to be used as identification-based security system. In this respect a modified raster grid is used instead of conventional raster grid. The modification, mainly, consists of equally-spaced circular dots instead of conventional screen composed of stacked squares, which gave acceptable results for green color. This modified raster grid was projected on human face, distortions of which were used to extract curvature information — unique for a face (principal identification and recognition criterion). This information, in coördinate form, was processed by image-processing algorithms. Registration, identification and verification were the three phases of face-recognition system. In the first step, subject’s face was captured by a digital camera and stored in the system database. In the second phase, the registered face was compared with all the stored faces in the database. In the third phase, verification process executed, which consisted of comparing the identified face with own stored template. Once the facial image passed these three stages, the face was recognized as a particular individual. The algorithm, developed as such was tested on human faces; 380 out of 400 were, correctly, recognized. This algorithm was computationally efficient and effective. The edge-based-rasterstereographic-face-recognition system has been achieved to an extent of efficient 95% for identification and security purposes as time and cost-saving mechanism.