K-Nearest Neighbor-Based for Online Baseline Identification

A signature is the writerpsilas self representation. It contains many features; one of it is its baseline. The information contained in the baseline is known to be used as a precondition for subsequent handwriting or signature recognition algorithms and many researches regarding it has been done using off-line data. This research focuses on identifying the signature baseline by applying the concept of k-nearest neighbor. From the algorithm developed, it was found that out of 100 signatures from the database, 85% of the signature baselines were able to be identified.