Script identification of camera-based images

This paper reports a statistical script identification technique that determines the script of document images, especially camera-based images which suffer from perspective distortion. The identification technique represents a document image by a frequency vector of affine invariant signatures of characters, and identifies the script by comparing the vector with pre-prepared script templates. Experimental results show that our method is tolerant to moderate perspectives, document skew and various image noises.