Identification of the script of the text, present in multi-script documents, is one of the important first steps in the design of an OCR system. Much work has been reported relating to Roman, Arabic, Chinese, Korean and Japanese scripts. Though some work has already been reported in Indian Scenario, the work is still in its nascent stage. In this work we report a script identification algorithm at the word, using Gabor filters, in a bi-script scenario. Later, we extend this to tri script and then, five-script scenarios. The combination of Gabor features with nearest neighbour classifier shows promising results. Words of different font styles and sizes are used.