A score based indexing scheme for palmprint databases

This paper proposes an efficient retrieval technique which uses a new indexing scheme for a large palmprint database. For a given palmprint query image, the proposed indexing scheme makes use of match score vectors to determine an index and uses this index to reduce the search space of the database. Finally, the retrieval technique uses palmprint texture to find the top t best matches from the reduced search space. The proposed technique has been tested on publicly available palmprint database viz PolyU of 7752 images and is found to be an efficient technique based on score vector indexing scheme. The test reveals that hitrate of 98.01% is achieved for the bin-success rate of 98.28%. The proposed indexing scheme is found to be more powerful than any other known indexing scheme based on match score vectors.