Artículos de revistas sobre el tema "SDUMLA-HMT"
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Noh, Kyoung Jun, Jiho Choi, Jin Seong Hong y Kang Ryoung Park. "Finger-Vein Recognition Using Heterogeneous Databases by Domain Adaption Based on a Cycle-Consistent Adversarial Network". Sensors 21, n.º 2 (13 de enero de 2021): 524. http://dx.doi.org/10.3390/s21020524.
Texto completoNoroz, Noroz Khan Baloch, Saleem Ahmed Ahmed, Ramesh Kumar Kumar, DM Saqib Bhatii Bhatti y Yawar Rehaman Rehman. "Finger-Vein Image Dual Contrast Adjustment and Recognition Using 2D-CNN". Sukkur IBA Journal of Computing and Mathematical Sciences 6, n.º 1 (21 de julio de 2022): 16–25. http://dx.doi.org/10.30537/sjcms.v6i1.1001.
Texto completoSharif, Hanan, Faisal Rehman, Naveed Riaz, Rana Mohtasham Aftab, Adnan Ashraf y Azher Mehmood. "Identification of Finger Vein Images with Deep Neural Networks". Lahore Garrison University Research Journal of Computer Science and Information Technology 7, n.º 02 (21 de agosto de 2023): 29–36. http://dx.doi.org/10.54692/lgurjcsit.2023.0702425.
Texto completoLi, Jun, Luokun Yang, Mingquan Ye, Yang Su y Juntong Liu. "Finger Vein Verification on Different Datasets Based on Deep Learning with Triplet Loss". Computational and Mathematical Methods in Medicine 2022 (20 de octubre de 2022): 1–10. http://dx.doi.org/10.1155/2022/4868435.
Texto completoHsia, Chih-Hsien, Zi-Han Yang, Hong-Jyun Wang y Kuei-Kuei Lai. "A New Enhancement Edge Detection of Finger-Vein Identification for Carputer System". Applied Sciences 12, n.º 19 (9 de octubre de 2022): 10127. http://dx.doi.org/10.3390/app121910127.
Texto completoAhmed, Mona A. y Abdel-Badeeh M. Salem. "Intelligent Technique for Human Authentication using Fusion of Finger and Dorsal Hand Veins". WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 18 (9 de julio de 2021): 91–101. http://dx.doi.org/10.37394/23209.2021.18.12.
Texto completoMahmoud, Rasha O., Mazen M. Selim y Omar A. Muhi. "Fusion Time Reduction of a Feature Level Based Multimodal Biometric Authentication System". International Journal of Sociotechnology and Knowledge Development 12, n.º 1 (enero de 2020): 67–83. http://dx.doi.org/10.4018/ijskd.2020010104.
Texto completoYulianto, Vandy Achmad, Nazrul Effendy y Agus Arif. "Finger vein identification system using capsule networks with hyperparameter tuning". IAES International Journal of Artificial Intelligence (IJ-AI) 12, n.º 4 (1 de diciembre de 2023): 1636. http://dx.doi.org/10.11591/ijai.v12.i4.pp1636-1643.
Texto completoSari, Jayanti Yusmah y Rizal Adi Saputra. "Pengenalan Finger Vein Menggunakan Local Line Binary Pattern dan Learning Vector Quantization". Jurnal ULTIMA Computing 9, n.º 2 (2 de abril de 2018): 52–57. http://dx.doi.org/10.31937/sk.v9i2.790.
Texto completoChannegowda, Arjun Benagatte y H. N. Prakash. "Multimodal biometrics of fingerprint and signature recognition using multi-level feature fusion and deep learning techniques". Indonesian Journal of Electrical Engineering and Computer Science 22, n.º 1 (1 de abril de 2021): 187. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp187-195.
Texto completoK M, Prof Ramya, Pavan H, Darshan Gowda, Bhagavantray Hosamani y Jagadeva A S. "MULTIMODAL BIOMETRIC IDENTIFICATION SYSTEM USING THE FUSION OF FINGERPRINT AND IRIS RECOGNITION WITH CNN APPROACH". International Journal of Engineering Applied Sciences and Technology 6, n.º 8 (1 de diciembre de 2021): 213–20. http://dx.doi.org/10.33564/ijeast.2021.v06i08.036.
Texto completoFeng, Dingzhong, Shanyu He, Zihao Zhou y Ye Zhang. "A Finger Vein Feature Extraction Method Incorporating Principal Component Analysis and Locality Preserving Projections". Sensors 22, n.º 10 (12 de mayo de 2022): 3691. http://dx.doi.org/10.3390/s22103691.
Texto completoJumaa, Shereen S. y Khamis A. Zidan. "HIGH ACCURACY RECOGNITION BIO METRICS BASED ON FINGER VEIN SCREENING SENSOR". Iraqi Journal of Information & Communications Technology 3, n.º 2 (7 de julio de 2020): 35–46. http://dx.doi.org/10.31987/ijict.3.2.101.
Texto completoZhi-Yong Tao, Zhi-Yong Tao, Meng Wang Zhi-Yong Tao, Xin-Ru Zhou Meng Wang, Jie Li Xin-Ru Zhou y Sen Lin Jie Li. "FFV-MBC: A Novel Fused Finger-Vein Recognition Method Based on Monogenic Binary Coding". 電腦學刊 34, n.º 1 (febrero de 2023): 013–27. http://dx.doi.org/10.53106/199115992023023401002.
Texto completoKamlaskar, Chetana y Aditya Abhyankar. "Multilinear principal component analysis for iris biometric system". Indonesian Journal of Electrical Engineering and Computer Science 23, n.º 3 (1 de septiembre de 2021): 1458. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1458-1469.
Texto completoChoi, Jiho, Jin Seong Hong, Muhammad Owais, Seung Gu Kim y Kang Ryoung Park. "Restoration of Motion Blurred Image by Modified DeblurGAN for Enhancing the Accuracies of Finger-Vein Recognition". Sensors 21, n.º 14 (6 de julio de 2021): 4635. http://dx.doi.org/10.3390/s21144635.
Texto completoCherrat, El mehdi, Rachid Alaoui y Hassane Bouzahir. "Convolutional neural networks approach for multimodal biometric identification system using the fusion of fingerprint, finger-vein and face images". PeerJ Computer Science 6 (6 de enero de 2020): e248. http://dx.doi.org/10.7717/peerj-cs.248.
Texto completoKim, Wan, Jong Min Song y Kang Ryoung Park. "Multimodal Biometric Recognition Based on Convolutional Neural Network by the Fusion of Finger-Vein and Finger Shape Using Near-Infrared (NIR) Camera Sensor". Sensors 18, n.º 7 (15 de julio de 2018): 2296. http://dx.doi.org/10.3390/s18072296.
Texto completoSalama AbdELminaam, Diaa, Abdulrhman M. Almansori, Mohamed Taha y Elsayed Badr. "A deep facial recognition system using computational intelligent algorithms". PLOS ONE 15, n.º 12 (3 de diciembre de 2020): e0242269. http://dx.doi.org/10.1371/journal.pone.0242269.
Texto completoKamlaskar, Chetana y Aditya Abhyankar. "Iris-Fingerprint multimodal biometric system based on optimal feature level fusion model". AIMS Electronics and Electrical Engineering 5, n.º 4 (2021): 229–50. http://dx.doi.org/10.3934/electreng.2021013.
Texto completoTeng, Jackson Horlick, Thian Song Ong, Tee Connie, Kalaiarasi Sonai Muthu Anbananthen y Pa Pa Min. "Optimized Score Level Fusion for Multi-Instance Finger Vein Recognition". Algorithms 15, n.º 5 (11 de mayo de 2022): 161. http://dx.doi.org/10.3390/a15050161.
Texto completoAlay, Nada y Heyam H. Al-Baity. "Deep Learning Approach for Multimodal Biometric Recognition System Based on Fusion of Iris, Face, and Finger Vein Traits". Sensors 20, n.º 19 (27 de septiembre de 2020): 5523. http://dx.doi.org/10.3390/s20195523.
Texto completoMustafa, Ahmed A. y Ahmed AK Tahir. "Improving the Performance of Finger-Vein Recognition System Using A New Scheme of Modified Preprocessing Methods". Academic Journal of Nawroz University 9, n.º 3 (30 de agosto de 2020): 397. http://dx.doi.org/10.25007/ajnu.v9n3a855.
Texto completoKovač, Ivan y Pavol Marák. "Openfinger: Towards a Combination of Discriminative Power of Fingerprints and Finger Vein Patterns in Multimodal Biometric System". Tatra Mountains Mathematical Publications 77, n.º 1 (1 de diciembre de 2020): 109–38. http://dx.doi.org/10.2478/tmmp-2020-0012.
Texto completoShrey Kekade, Piyush Morey, Mayur Rajput, Sahil Karli y Priyanka Bendale. "Review Paper on an Authentication System using Siamese Convolutional Neural Networks". International Journal of Advanced Research in Science, Communication and Technology, 26 de marzo de 2023, 501–4. http://dx.doi.org/10.48175/ijarsct-8874.
Texto completo"Impostor Detection Based Finger Veins Applying Machine Learning Methods". Iraqi Journal of Computer, Communication, Control and System Engineering, 30 de septiembre de 2021, 98–111. http://dx.doi.org/10.33103/uot.ijccce.21.3.9.
Texto completo"Impostor Detection Based Finger Veins Applying Machine Learning Methods". Iraqi Journal of Computer, Communication, Control and System Engineering, 30 de septiembre de 2021, 98–111. http://dx.doi.org/10.33103/uot.ijccce.21.3.9.
Texto completoBoucetta, Aldjia y Leila Boussaad. "Biometric Authentication Using Finger-Vein Patterns with Deep-Learning and Discriminant Correlation Analysis". International Journal of Image and Graphics, 22 de abril de 2021, 2250013. http://dx.doi.org/10.1142/s0219467822500139.
Texto completoKolivand, Hoshang, Kayode Akinlekan Akintoye, Shiva Asadianfam y Mohd Shafry Rahim. "Improved methods for finger vein identification using composite Median-Wiener filter and hierarchical centroid features extraction". Multimedia Tools and Applications, 1 de marzo de 2023. http://dx.doi.org/10.1007/s11042-023-14469-z.
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