4 papers with code • 2 benchmarks • 5 datasets
The goal of handwriting verification is to find a measure of confidence whether the given handwritten samples are written by the same or different writer.
Offline signature verification is one of the most challenging tasks in biometrics and document forensics.
Experiments are performed by complementing one of the HEF methods with one ALF method on 150000 pairs of samples of the word "AND" cropped from handwritten notes written by 1500 writers.
The task of writer verification is to provide a likelihood score for whether the queried and known handwritten image samples belong to the same writer or not.