  A line of a bilingual document page may contain text words in regional
language and numerals in English. For Optical Character Recognition (OCR) of
such a document page, it is necessary to identify different script forms before
running an individual OCR system. In this paper, we have identified a tool of
morphological opening by reconstruction of an image in different directions and
regional descriptors for script identification at word level, based on the
observation that every text has a distinct visual appearance. The proposed
system is developed for three Indian major bilingual documents, Kannada, Telugu
and Devnagari containing English numerals. The nearest neighbour and k-nearest
neighbour algorithms are applied to classify new word images. The proposed
algorithm is tested on 2625 words with various font styles and sizes. The
results obtained are quite encouraging
