相对位置矩阵和多尺度特征融合,用于编写者独立的在线签名验证
Fangjun Luan1,2,3, Weiyi Cao1,2,3, Shuai Yuan1,2,3
1School of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang, China.
Heliyon
|September 24, 2024
概括
这项研究引入了一种新的,独立于作者的在线签名验证方法. 这种方法显著降低了等错率,提高了在线手写签名技术的安全性和实用性.
科学领域:
- 计算机科学 计算机科学
- 生物识别信息 生物识别信息
- 机器学习 机器学习
背景情况:
- 在线签名验证 (OSV) 在金融和法律方面至关重要,但在小型数据集和模型通用化方面面临挑战.
- 提高OSV的实用性和安全性对于可靠的数字身份验证至关重要.
研究的目的:
- 开发一个独立于作家的在线手写签名验证方法.
- 为了解决小型数据集的局限性,并增强认证模型的概括能力.
主要方法:
- 利用相对位置矩阵方法将时间签名特征转换为图像表示,从而实现数据增强.
- 开发了一种二维的多尺度特征融合罗神经网络 (2D-MFFnet),其中包含了适应性道重要性学习的注意力机制.
- 在最终分类阶段使用时间卷积网络.
主要成果:
- 与传统的时间序列模型相比,拟议的算法证明了相等错误率 (EER) 的显著降低至少为2.52%
- 在已建立的开放数据集上验证了性能,包括MCYT-100和SVC2004 task2.
结论:
- 小说作家独立的OSV方法有效地克服了数据稀缺性和泛化问题.
- 基于图像的特征表示,罗网络和时间卷积网络的集成提高了签名验证的准确性和稳定性.
相关概念视频
01:17Sign Test for Matched Pairs
112
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
To conduct the sign test, we first calculate the differences in...
112
01:22Multi-input and Multi-variable systems
101
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
101