“Feature level fusion of palm print and fingerprint modalities using Discrete Cosine Transform”

机译：“使用离散余弦变换的掌纹和指纹形态特征融合”

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

Biometric systems have become a major part of research due its application of identification. Paper proposes a multimodal biometric system using palm prints modality combined with fingerprint modality. The proposed methodology uses standard deviation of pre-defined block of DCT coefficient as feature vector. Recognition process is being done by performing distance measurement between feature vector of testing and training data set. Results show that the False Acceptance Rate (FAR) of feature level fusion is less than that of uni-modal systems, hence having multimodality is advantageous. Testing and training is done on database of 150 students of College of Engineering Pune.

机译：生物识别系统由于其在识别中的应用而成为研究的主要部分。论文提出了一种结合掌纹模式和指纹模式的多模式生物识别系统。所提出的方法使用DCT系数的预定义块的标准偏差作为特征向量。通过执行测试的特征向量与训练数据集之间的距离测量来完成识别过程。结果表明，特征级融合的错误接受率（FAR）小于单模态系统，因此具有多模态性是有利的。测试和培训在浦那工程学院的150名学生的数据库中进行。

著录项

来源
《2014 International Conference on Advances in Engineering and Technology Research》|2014年|1-5|共5页
会议地点 Unnao (IN)
作者
Gupta Arpan; Walia Ekta; Vaidya Mahesh;
展开▼
作者单位

Electron. Telecommun., Coll. of Eng. Pune, Pune, India;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
discrete cosine transforms; fingerprint identification; image fusion; palmprint recognition; vectors; DCT coefficient; discrete cosine transform; feature level fusion FAR; feature level fusion false acceptance rate; feature vector; fingerprint modalities; multimodal biometric system; palm print modalities; Databases; Discrete cosine transforms; Feature extraction; Fingerprint recognition; Frequency measurement; Hardware; Noise measurement; Discrete Cosine Transform (DCT); Multimodal Biometric system; Standard deviati;

机译：离散余弦变换;指纹识别;图像融合;掌纹识别;矢量; DCT系数;离散余弦变换;特征级融合FAR;特征级融合误接受率;特征矢量;指纹模态;多模态生物特征识别系统;掌纹模式;数据库;离散余弦变换;特征提取;指纹识别;频率测量;硬件;噪声测量;离散余弦变换（DCT）;多峰生物特征识别系统;标准偏差;

相似文献

外文文献
中文文献
专利

1. Scale invariant and fixed-length feature extraction by integrating discrete cosine transform and autoregressive signal modeling for palmprint identification [J] . BURHAN ERGEN Turkish Journal of Electrical Engineering and Computer Sciences . 2016,第3期

机译：通过集成离散余弦变换和自回归信号建模进行掌纹识别的尺度不变和定长特征提取
2. Integrated biometrics template protection technique based on fingerprint and palmprint feature-level fusion [J] . Y. J. Chin, T. S. Ong, A. B. J. Teoh, Information Fusion . 2014,第Null期

机译：基于指纹和掌纹特征级融合的集成生物识别模板保护技术
3. Personal identification using feature and score level fusion of palm- and fingerprints - Springer [J] . Salah-ud-din Ghulam Mohi-ud-Din, Atif Bin Mansoor, Hassan Masood, Signal, Image and Video Processing . 2011,第4期

机译：使用特征和分数级别融合手掌和指纹的个人识别-Springer
4. “Feature level fusion of palm print and fingerprint modalities using Discrete Cosine Transform” [C] . Gupta Arpan, Walia Ekta, Vaidya Mahesh International Conference on Advances in Engineering and Technology Research . 2014

机译：“使用离散余弦变换的手掌打印和指纹方式的特征级别融合”
5. Discrete cosine transform-only and discrete sine transform-only windowed update algorithms for shifting data with hardware implementation. [D] . Karwal, Vikram. 2009

机译：仅离散余弦变换和仅离散正弦变换的窗口更新算法，用于通过硬件实现来移位数据。
6. Advance hybrid medical watermarking algorithm using speeded up robust features and discrete cosine transform [O] . Saqib Ali Nawaz, Jingbing Li, Uzair Aslam Bhatti, 2020

机译：利用加速的鲁棒特征和离散余弦变换的先进混合医学水印算法
7. Efficient Fingerprint Recognition Through Improvement of Feature Level Clustering, Indexing and Matching Using Discrete Cosine Transform [O] . D. Indradevi 2011

机译：通过改进特征级别聚类，索引和匹配使用离散余弦变换的高效指纹识别

“Feature level fusion of palm print and fingerprint modalities using Discrete Cosine Transform”

摘要

著录项

相似文献

相关主题

期刊订阅