VERIFIKASI TANDA TANGAN MENGGUNAKAN UNITED MOMENT INVARIANT DAN SELF ORGANIZING MAP
Daftar Isi:
- Signatures are a unique pattern of an individual that can be used as a personal identity. Signatures have weaknesses that can be imitated or faked by others. To overcome these weaknesses developed signature verification software. In this study, software that can perform signature verification developed using the United Moment Invariant (UMI) and Self Organizing Map (SOM). The input of this software is a signature image through a binary process using Otsu method. Then the image of binary result is taken character using UMI which yield 8 values. Characteristics of 8 values of UMI through the SOM training process to get the best weights used during the verification process using SOM. The result of this process states the authenticity of verified signatures. Of the 500 images of signatures tested, obtained the results of verification with an accuracy of 86.2%.