Статті в журналах з теми "SDUMLA-HMT"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-29 статей у журналах для дослідження на тему "SDUMLA-HMT".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Noh, Kyoung Jun, Jiho Choi, Jin Seong Hong, and Kang Ryoung Park. "Finger-Vein Recognition Using Heterogeneous Databases by Domain Adaption Based on a Cycle-Consistent Adversarial Network." Sensors 21, no. 2 (January 13, 2021): 524. http://dx.doi.org/10.3390/s21020524.
Повний текст джерелаNoroz, Noroz Khan Baloch, Saleem Ahmed Ahmed, Ramesh Kumar Kumar, DM Saqib Bhatii Bhatti, and Yawar Rehaman Rehman. "Finger-Vein Image Dual Contrast Adjustment and Recognition Using 2D-CNN." Sukkur IBA Journal of Computing and Mathematical Sciences 6, no. 1 (July 21, 2022): 16–25. http://dx.doi.org/10.30537/sjcms.v6i1.1001.
Повний текст джерелаSharif, Hanan, Faisal Rehman, Naveed Riaz, Rana Mohtasham Aftab, Adnan Ashraf, and Azher Mehmood. "Identification of Finger Vein Images with Deep Neural Networks." Lahore Garrison University Research Journal of Computer Science and Information Technology 7, no. 02 (August 21, 2023): 29–36. http://dx.doi.org/10.54692/lgurjcsit.2023.0702425.
Повний текст джерелаLi, Jun, Luokun Yang, Mingquan Ye, Yang Su, and Juntong Liu. "Finger Vein Verification on Different Datasets Based on Deep Learning with Triplet Loss." Computational and Mathematical Methods in Medicine 2022 (October 20, 2022): 1–10. http://dx.doi.org/10.1155/2022/4868435.
Повний текст джерелаHsia, Chih-Hsien, Zi-Han Yang, Hong-Jyun Wang, and Kuei-Kuei Lai. "A New Enhancement Edge Detection of Finger-Vein Identification for Carputer System." Applied Sciences 12, no. 19 (October 9, 2022): 10127. http://dx.doi.org/10.3390/app121910127.
Повний текст джерелаAhmed, Mona A., and 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 (July 9, 2021): 91–101. http://dx.doi.org/10.37394/23209.2021.18.12.
Повний текст джерелаMahmoud, Rasha O., Mazen M. Selim, and Omar A. Muhi. "Fusion Time Reduction of a Feature Level Based Multimodal Biometric Authentication System." International Journal of Sociotechnology and Knowledge Development 12, no. 1 (January 2020): 67–83. http://dx.doi.org/10.4018/ijskd.2020010104.
Повний текст джерелаYulianto, Vandy Achmad, Nazrul Effendy, and Agus Arif. "Finger vein identification system using capsule networks with hyperparameter tuning." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 4 (December 1, 2023): 1636. http://dx.doi.org/10.11591/ijai.v12.i4.pp1636-1643.
Повний текст джерелаSari, Jayanti Yusmah, and Rizal Adi Saputra. "Pengenalan Finger Vein Menggunakan Local Line Binary Pattern dan Learning Vector Quantization." Jurnal ULTIMA Computing 9, no. 2 (April 2, 2018): 52–57. http://dx.doi.org/10.31937/sk.v9i2.790.
Повний текст джерелаChannegowda, Arjun Benagatte, and 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, no. 1 (April 1, 2021): 187. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp187-195.
Повний текст джерелаK M, Prof Ramya, Pavan H, Darshan Gowda, Bhagavantray Hosamani, and 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, no. 8 (December 1, 2021): 213–20. http://dx.doi.org/10.33564/ijeast.2021.v06i08.036.
Повний текст джерелаFeng, Dingzhong, Shanyu He, Zihao Zhou, and Ye Zhang. "A Finger Vein Feature Extraction Method Incorporating Principal Component Analysis and Locality Preserving Projections." Sensors 22, no. 10 (May 12, 2022): 3691. http://dx.doi.org/10.3390/s22103691.
Повний текст джерелаJumaa, Shereen S., and Khamis A. Zidan. "HIGH ACCURACY RECOGNITION BIO METRICS BASED ON FINGER VEIN SCREENING SENSOR." Iraqi Journal of Information & Communications Technology 3, no. 2 (July 7, 2020): 35–46. http://dx.doi.org/10.31987/ijict.3.2.101.
Повний текст джерелаZhi-Yong Tao, Zhi-Yong Tao, Meng Wang Zhi-Yong Tao, Xin-Ru Zhou Meng Wang, Jie Li Xin-Ru Zhou, and Sen Lin Jie Li. "FFV-MBC: A Novel Fused Finger-Vein Recognition Method Based on Monogenic Binary Coding." 電腦學刊 34, no. 1 (February 2023): 013–27. http://dx.doi.org/10.53106/199115992023023401002.
Повний текст джерелаKamlaskar, Chetana, and Aditya Abhyankar. "Multilinear principal component analysis for iris biometric system." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (September 1, 2021): 1458. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1458-1469.
Повний текст джерелаChoi, Jiho, Jin Seong Hong, Muhammad Owais, Seung Gu Kim, and Kang Ryoung Park. "Restoration of Motion Blurred Image by Modified DeblurGAN for Enhancing the Accuracies of Finger-Vein Recognition." Sensors 21, no. 14 (July 6, 2021): 4635. http://dx.doi.org/10.3390/s21144635.
Повний текст джерелаCherrat, El mehdi, Rachid Alaoui, and 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 (January 6, 2020): e248. http://dx.doi.org/10.7717/peerj-cs.248.
Повний текст джерелаKim, Wan, Jong Min Song, and 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, no. 7 (July 15, 2018): 2296. http://dx.doi.org/10.3390/s18072296.
Повний текст джерелаSalama AbdELminaam, Diaa, Abdulrhman M. Almansori, Mohamed Taha, and Elsayed Badr. "A deep facial recognition system using computational intelligent algorithms." PLOS ONE 15, no. 12 (December 3, 2020): e0242269. http://dx.doi.org/10.1371/journal.pone.0242269.
Повний текст джерелаKamlaskar, Chetana, and Aditya Abhyankar. "Iris-Fingerprint multimodal biometric system based on optimal feature level fusion model." AIMS Electronics and Electrical Engineering 5, no. 4 (2021): 229–50. http://dx.doi.org/10.3934/electreng.2021013.
Повний текст джерелаTeng, Jackson Horlick, Thian Song Ong, Tee Connie, Kalaiarasi Sonai Muthu Anbananthen, and Pa Pa Min. "Optimized Score Level Fusion for Multi-Instance Finger Vein Recognition." Algorithms 15, no. 5 (May 11, 2022): 161. http://dx.doi.org/10.3390/a15050161.
Повний текст джерелаAlay, Nada, and Heyam H. Al-Baity. "Deep Learning Approach for Multimodal Biometric Recognition System Based on Fusion of Iris, Face, and Finger Vein Traits." Sensors 20, no. 19 (September 27, 2020): 5523. http://dx.doi.org/10.3390/s20195523.
Повний текст джерелаMustafa, Ahmed A., and 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, no. 3 (August 30, 2020): 397. http://dx.doi.org/10.25007/ajnu.v9n3a855.
Повний текст джерелаKovač, Ivan, and Pavol Marák. "Openfinger: Towards a Combination of Discriminative Power of Fingerprints and Finger Vein Patterns in Multimodal Biometric System." Tatra Mountains Mathematical Publications 77, no. 1 (December 1, 2020): 109–38. http://dx.doi.org/10.2478/tmmp-2020-0012.
Повний текст джерелаShrey Kekade, Piyush Morey, Mayur Rajput, Sahil Karli, and Priyanka Bendale. "Review Paper on an Authentication System using Siamese Convolutional Neural Networks." International Journal of Advanced Research in Science, Communication and Technology, March 26, 2023, 501–4. http://dx.doi.org/10.48175/ijarsct-8874.
Повний текст джерела"Impostor Detection Based Finger Veins Applying Machine Learning Methods." Iraqi Journal of Computer, Communication, Control and System Engineering, September 30, 2021, 98–111. http://dx.doi.org/10.33103/uot.ijccce.21.3.9.
Повний текст джерела"Impostor Detection Based Finger Veins Applying Machine Learning Methods." Iraqi Journal of Computer, Communication, Control and System Engineering, September 30, 2021, 98–111. http://dx.doi.org/10.33103/uot.ijccce.21.3.9.
Повний текст джерелаBoucetta, Aldjia, and Leila Boussaad. "Biometric Authentication Using Finger-Vein Patterns with Deep-Learning and Discriminant Correlation Analysis." International Journal of Image and Graphics, April 22, 2021, 2250013. http://dx.doi.org/10.1142/s0219467822500139.
Повний текст джерелаKolivand, Hoshang, Kayode Akinlekan Akintoye, Shiva Asadianfam, and Mohd Shafry Rahim. "Improved methods for finger vein identification using composite Median-Wiener filter and hierarchical centroid features extraction." Multimedia Tools and Applications, March 1, 2023. http://dx.doi.org/10.1007/s11042-023-14469-z.
Повний текст джерела