Iris template protection using double bloom filter based feature transformation

The primary focus of the bloom filter based iris feature transformations are template protection, data compression, response time of matching and the accuracy of matching. The increase in size of the code word of the bloom filter based feature transformation results in an exponential increase in the size of the transformed iris template and it degrades the data compression ratio, response time of matching and the accuracy of matching. This study presents a double bloom filter based iris feature transformation to reduce the exponential increase in the size of the transformed iris template. The number of bits set to one in the bloom filter based feature transformation is very less and it increases the false acceptance rate. The total bits set to one in the double bloom filter based feature transformation is double that of the bloom filter based transformation and it enhances the accuracy of matching of the transformed iris template. Experimental analysis exhibits that the double bloom filter based feature transformation enhances the data compression ratio, template protection, response time of matching and the accuracy of matching. The double bloom filter transformation reduces the size of the transformed iris template and increases the number of bits set to one there by it enhances the data compression ratio, template protection, response time of matching and the accuracy of matching. (C) 2020 Elsevier Ltd. All rights reserved.