Paper
Improved Multi-Scale Local Difference Features for Off-Line Handwritten Signature Verification
Naouel Arab✉, Hassiba Nemmour, Youcef Chibani
Abstract
In the present work, we propose the multi-scale Local Difference Features (LDF) for improving handwritten signature verification. This descriptor is similar to local binary patterns, since it highlights intensity differences between a pixel and its neighbors. Presently, we propose a multi-scale implementation of LDF in which, neighboring pixels are taken on several radiuses. This helps to adapt LD...
Details
| Original language | English |
|---|---|
| Journal | 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) |
| Article number | 9151688 |
| Pages | 266-270 |
| DOI | 10.1109/ccssp49278.2020.9151688 |
| Publication status | Published — 2020 |