Texture for Script identification

The problem of determining the script and language of a document image has a number of important applications in the field of document analysis, such as indexing and sorting of large collections of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate the use of texture as a tool for determining the script of a document image, based on the observation that text has a distinct visual texture. An experimental evaluation of a number of commonly used texture features is conducted on a newly created script database, providing a qualitative measure of which features are most appropriate for this task. Strategies for improving classification results in situations with limited training data and multiple font types are also proposed.

The Australian Parliament: A Gendered Organisation

Limited work has been undertaken on the subject of gender and Australian parliamentary institutions. This study of 13 male and 15 female members of the Australian parliament addresses this gap in the literature. Data from the study are used to explore the ways in which the institutions of political office operate as ‘gendered organisations’ (Acker 1990). What emerges from this analysis is the pervasiveness of gender across the processes, practices and discourses of the parliament. This is a space infused with hegemonic masculinity. This gendering is, however, normalised and/or minimised by many of the parliamentarians involved in the study.