Fraud detection via automated handwriting clustering

A system for automatically analyzing a corpus of handwritten text to determine a mismatch between a purported writer and an actual writer, comprising:

• a text sample database, storing a plurality of digitized images comprising handwritten text;
• one or more processors, and
• non-transient memory storing instructions that, when executed by the one or more processors, cause the one or more processors to:
• receive a first sample of digitized handwriting and metadata associating the first sample with a first individual who allegedly created the sample and with a second individual who allegedly received the sample from the first individual and entered it into a digital system;
• receive a second sample of digitized handwriting and metadata associating the second sample with a third individual who allegedly created the sample and with the second individual, who also allegedly received the sample from the third individual and entered it into the digital system;
• automatically perform a series of feature extractions to convert the first sample and the second sample into a first vector and a second vector, respectively, of extracted features, wherein the extracted features comprise at least one of:
• a histogram of oriented gradients, an energy-entropy comparison, and a Pearson coefficient between sets of extracted waveforms from tiles;
• automatically cluster a set of vectors comprising the first vector and the second vector such that the first vector and the second vector are assigned to the same cluster among multiple clusters, based on vector similarity;
• automatically determine that the metadata associating the second individual with both the first and second samples indicates a heightened probability that the first individual and third individual did not create the first and second samples, and rather that the second individual created both samples, based at least in part on pairing regions with same semantic contents or functions for pairwise similarity analysis;
• automatically transmit a message to flag additional samples of digitized handwriting entered into the digital system by the second individual as possibly fraudulent.