Document Image Indexing Using Edit Distance Based Hashing

We present a novel word image based document indexing scheme by combination of string matching and hashing. The word image representation is defined by string codes obtained by unsupervised learning over graphical primitives. The indexing framework is defined by distance based hashing function which does the object projection to hash space by preserving their distances. We have used edit distance based string matching for defining the hashing function and for approximate nearest neighbor based retrieval. The application of the proposed indexing framework is presented for two document image collections belonging to Devanagari and Bengali script.