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International Journal of Biometrics最新文献

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Enhancement of Retinal Fundus Image Using Multiscale Tophat Transformation 基于多尺度Tophat变换的视网膜眼底图像增强
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.10053323
D. Koundal, Gurjinder Kaur, Sheifali Gupta, Meenu Garg
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引用次数: 0
Use of Synthetic Signature Images for Biometric Authentication and Forensic Investigation 合成签名图像在生物识别鉴定和法医调查中的应用
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.10050915
V. Mishra, Megha Mishra, Sameera Khan
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引用次数: 0
PPG and fingerprint: robust bimodal biometric system PPG和指纹:稳健的双峰生物识别系统
Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.133958
Akhil Walia, Amit Kaul
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引用次数: 0
Fingerprint template protection using SNL approach-based pattern transformation 基于SNL方法的指纹模板保护模式转换
Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.133198
Joycy K. Antony, K. Kanagalakshmi
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引用次数: 0
Autogenic, prognostic, and collective signature affirmation framework based on diverse set of features 基于不同特征集的自生、预后和集体签名确认框架
Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.133124
Sameera Khan, Megha Mishra, Vishnu Kumar Mishra
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引用次数: 0
A robust watermarking technique for biometric image authentication 一种用于生物特征图像认证的鲁棒水印技术
Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.133165
Mohamed Radouane, Nadia Idrissi Zouggari
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引用次数: 0
Robust perceptual fingerprint image hashing: a comparative study 鲁棒感知指纹图像哈希:比较研究
Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.127724
Wafa Birouk, Atidel Lahoulou, Ali Melit, Ahmed Bouridane
This paper presents a robust perceptual hashing scheme for biometric template protection where the input fingerprint image is mapped into a sequence of Boolean values. Our aim is to develop a method that relies on the use of four functions namely SIFT, Harris, DWT and SVD. After extracting the minutiae, the scale-invariant feature transform (SIFT) is applied in order to extract the robust features against geometric attacks. The resulting vector is then filtered using Harris criterion to maintain only the stable key-points. Next, the fingerprint template is produced by image binarisation and decomposed into blocks. The hash code is finally obtained by concatenating the singular values computed on the approximation coefficients of each image block. Similarity between hash codes is evaluated by the normalised Hamming distance (HD). Comparative analysis to three similar methods indicates that the proposed hashing scheme shows better performances in terms of discriminative capability as well as robustness against acceptable image manipulations, such as JPEG compression, gamma correction, speckle noise, Gaussian blur, shearing and slight rotation.
提出了一种鲁棒感知哈希方案,将输入指纹图像映射到布尔值序列中,用于生物特征模板保护。我们的目标是开发一种依赖于使用四个函数即SIFT, Harris, DWT和SVD的方法。在提取细节特征后,采用尺度不变特征变换(SIFT)提取抗几何攻击的鲁棒特征。然后使用哈里斯准则对得到的向量进行滤波,只保留稳定的关键点。其次,通过图像二值化生成指纹模板,并将其分解为块。最后通过对每个图像块的近似系数计算的奇异值进行串接得到哈希码。哈希码之间的相似性通过标准化汉明距离(HD)来评估。与三种类似方法的对比分析表明,所提出的散列方案在判别能力和鲁棒性方面表现出更好的性能,可以抵抗JPEG压缩、伽玛校正、散斑噪声、高斯模糊、剪切和轻微旋转等可接受的图像操作。
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引用次数: 2
A comprehensive study of machine learning approaches for keystroke dynamics authentication 对击键动力学认证的机器学习方法的综合研究
Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.133148
Tanya Teotia, Mridula Sharma, Haytham Elmiligi
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引用次数: 0
Use of synthetic signature images for biometric authentication and forensic investigation 合成签名图像用于生物识别认证和法医调查
Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.133957
Sameera Khan, Megha Mishra, Vishnu Kumar Mishra
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引用次数: 0
Deep Learning with Spectrogram Image of Eye Movement for Biometrics 基于眼动谱图的深度学习生物识别
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.10052380
K. S. Komati, J. O. Andrade, Izabella Rodrigues, Antonio R. A. Brasil, P. M. Ciarelli
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引用次数: 0
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International Journal of Biometrics
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