Online signature verification using a new extreme points warping technique
Pattern Recognition Letters
On-line signature recognition based on VQ-DTW
Pattern Recognition
Online slant signature algorithm analysis
WSEAS Transactions on Computers
Baseline extraction algorithm for online signature recognition
WSEAS TRANSACTIONS on SYSTEMS
Baseline Image Classification Approach Using Local Minima Selection
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
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Everyone would require to have a signature for authorization and other important tasks that needs identification. Thus, signature has become one of a method to represent its writer uniquely. Signature has many hidden features that are difficult to extract. Some of the identified features that a signature should have are slanting, baseline, proportion and size. In this proposed study, slanting is chosen to be identified in a signature. Signatures are captured using a tablet and saved in a digitized format of x and y values. A slant algorithm is created and coded into a functional system. An experiment consisting of 50 signatures are tested and the finding shows the angle and degree of the slant in every signature. The creation of this algorithm would be able to give some degree of contribution in the area of signature recognition.