Automated data-matching based on fingerprints
Abstract:
Automated data-matching includes obtaining first and second stored fingerprints generated from first and second data. The stored fingerprints are divided into frames, and grouped into first blocks and second blocks including an equal number of frames. Each frame included in a current first block is compared to each frame included in a current second block to determine a number of matching frames, and a hamming distance between the current first block and the current second block is determined, based at least in part on the number of matching frames. A determination is made, based at least in part on the hamming distance, whether the current first block and the current second block match.
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