k-NN classification of handwritten characters via accelerated GAT correlation

Highlights：

• ●We enhance k-NN classification via a distortion-tolerant GAT correlation technique.●We accelerate GAT correlation using separation of variables and lookup tables.●We examine both shape matching and discrimination abilities of GAT correlation.●GAT correlation is far superior in recognition accuracy to the tangent distance.●Computational cost of GAT correlation is reduced to about 6% of the original cost.