A distributed approach for computing sum aggregation in P2P networks

Abstract

Since hand vein patterns are assumed not to change over time except in size and they are unique to each individual, researchers aim to construct a biometric control system based on hand vein patterns. Each hand vein pattern defines a graph structure. According to this, we converted each hand vein pattern to a graph and to match these graphs, we developed an algorithm based on (Graph Edit Distance) GED. GED is defined as the least cost graph edit operation sequence which is used to transform one graph to another. Our initial results confirm the utility of GED-based hand vein verification.