The Challenges of Universalising Religions: the Kabbalah Centre in France and Britain.

The Kabbalah Centre is an offshoot of Judaism which since the 1990s has spread kabbalistic teaching in several countries to a religiously diverse audience. This article compares two European branches of the Kabbalah Centre: the flourishing London Centre, and the Parisian Centre that declined in the late 1990s before closing its doors in 2005. It emphasizes in particular the responses they stirred from the media, anticult movements, Orthodox Judaism and the Jewish population. Ultimately, this case study allows us to observe, in situ, the trajectory of a global religion, torn between its Jewish roots and universalistic ambitions. It emphasizes the importance, in this process, of the relationship it maintains, willingly or not, with its original religious frame. Consequently, the importance of local contexts is raised, illustrating the impact and combination of diverse factors. In addition to public and official responses to religious diversity, religious movements are affected by the religious landscape and the structures and authorities of religious organizations, as well as the religious and cultural characteristics of the population. Ultimately, this article underscores the complexity of the globalization of religion, which embraces a wide range of complex, sometimes ambiguous, situations lying between strong particularistic identity-claims and cosmopolitan, universalistic ambitions.

Robust Extraction of Text from Camera Images using Colour and Spatial Information Simultaneously

The importance and use of text extraction from camera based coloured scene images is rapidly increasing with time. Text within a camera grabbed image can contain a huge amount of meta data about that scene. Such meta data can be useful for identification, indexing and retrieval purposes. While the segmentation and recognition of text from document images is quite successful, detection of coloured scene text is a new challenge for all camera based images. Common problems for text extraction from camera based images are the lack of prior knowledge of any kind of text features such as colour, font, size and orientation as well as the location of the probable text regions. In this paper, we document the development of a fully automatic and extremely robust text segmentation technique that can be used for any type of camera grabbed frame be it single image or video. A new algorithm is proposed which can overcome the current problems of text segmentation. The algorithm exploits text appearance in terms of colour and spatial distribution. When the new text extraction technique was tested on a variety of camera based images it was found to out perform existing techniques (or something similar). The proposed technique also overcomes any problems that can arise due to an unconstraint complex background. The novelty in the works arises from the fact that this is the first time that colour and spatial information are used simultaneously for the purpose of text extraction.