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According to the efficiency bottleneck of algorithm DBSCAN, we present P-DBSCAN, a novel parallel version of this algorithm in distributed environment. By separating the database into several parts, the computer nodes carry out clustering independently; after that, the sub-results will be aggregated into one final result. P-DBSCAN achieves good results and much better efficiency than DBSCAN. Experiments...
The algorithm gets corner sets from palmprint images using a customized Harris method. Then apply distance and orientation features to interconnect the corner points with lines and optimize the result. Fuzzy blocks are used to increase the match probability in the recognition algorithm. The algorithm chooses different filter windows to influence the result corner sets. Then integrating with distance...
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