  Document segmentation is one of the critical phases in machine recognition of
any language. Correct segmentation of individual symbols decides the accuracy
of character recognition technique. It is used to decompose image of a sequence
of characters into sub images of individual symbols by segmenting lines and
words. Devnagari is the most popular script in India. It is used for writing
Hindi, Marathi, Sanskrit and Nepali languages. Moreover, Hindi is the third
most popular language in the world. Devnagari documents consist of vowels,
consonants and various modifiers. Hence proper segmentation of Devnagari word
is challenging. A simple histogram based approach to segment Devnagari
documents is proposed in this paper. Various challenges in segmentation of
Devnagari script are also discussed.
