{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T17:41:55Z","timestamp":1779903715496,"version":"3.53.1"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Sign Process Syst"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s11265-023-01870-y","type":"journal-article","created":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T08:02:18Z","timestamp":1682668938000},"page":"551-558","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["A Fast and Light Fingerprint-Matching Model Based on Deep Learning Approaches"],"prefix":"10.1007","volume":"95","author":[{"given":"Hamid","family":"Shafaghi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meysam","family":"Kiani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdolah","family":"Amirany","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4762-1536","authenticated-orcid":false,"given":"Kian","family":"Jafari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Hossein","family":"Moaiyeri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,4,28]]},"reference":[{"key":"1870_CR1","doi-asserted-by":"crossref","unstructured":"Pandya, B., Cosma, G., Alani, A. A., Taherkhani, A., Bharadi, V., & McGinnity, T. M. (2018). \u201cFingerprint classification using a deep convolutional neural network,\u201c presented at the 4th International Conference on Information Management (ICIM), 2018.","DOI":"10.1109\/INFOMAN.2018.8392815"},{"issue":"9","key":"1870_CR2","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1007\/s11265-021-01654-2","volume":"93","author":"A Buriro","year":"2021","unstructured":"Buriro, A., Gupta, S., Yautsiukhin, A., & Crispo, B. (2021). Risk-driven behavioral biometric-based one-shot-cum-continuous user authentication Scheme. Journal of Signal Processing Systems, 93(9), 989\u20131006. https:\/\/doi.org\/10.1007\/s11265-021-01654-2.","journal-title":"Journal of Signal Processing Systems"},{"issue":"6","key":"1870_CR3","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1007\/s11265-021-01646-2","volume":"93","author":"M Garg","year":"2021","unstructured":"Garg, M., Arora, A., & Gupta, S. (2021). An efficient human identification through Iris Recognition System. Journal of Signal Processing Systems, 93(6), 701\u2013708. https:\/\/doi.org\/10.1007\/s11265-021-01646-2.","journal-title":"Journal of Signal Processing Systems"},{"issue":"2","key":"1870_CR4","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/s11265-018-1385-4","volume":"91","author":"M Sabri","year":"2018","unstructured":"Sabri, M., Moin, M. S., & Razzazi, F. (2018). A New Framework for Match on Card and Match on host quality based Multimodal Biometric authentication. Journal of Signal Processing Systems, 91(2), 163\u2013177. https:\/\/doi.org\/10.1007\/s11265-018-1385-4.","journal-title":"Journal of Signal Processing Systems"},{"key":"1870_CR5","doi-asserted-by":"crossref","unstructured":"Barrenechea, M., Altuna, J., Mendicute, M., Ser, J. D., & Low-Cost, A. (2009). FPGA-Based Embedded Fingerprint Verification and Matching System,\u201c in Intelligent Technical Systems, (Lecture Notes in Electrical Engineering, ch. Chapter 18, pp.\u00a0247\u2013260.","DOI":"10.1007\/978-1-4020-9823-9_18"},{"issue":"03","key":"1870_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4236\/jcc.2018.63001","volume":"06","author":"IG Dakhil","year":"2018","unstructured":"Dakhil, I. G., & Ibrahim, A. A. (2018). Design and implementation of Fingerprint Identification System based on KNN neural network. Journal of Computer and Communications, 06(03), 1\u201318. https:\/\/doi.org\/10.4236\/jcc.2018.63001.","journal-title":"Journal of Computer and Communications"},{"issue":"6","key":"1870_CR7","doi-asserted-by":"publisher","first-page":"1981","DOI":"10.1109\/tpami.2019.2961349","volume":"43","author":"JJ Engelsma","year":"2021","unstructured":"Engelsma, J. J., Cao, K., & Jain, A. K. (2021). Learning a fixed-length fingerprint representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(6), 1981\u20131997. https:\/\/doi.org\/10.1109\/tpami.2019.2961349.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"1870_CR8","doi-asserted-by":"crossref","unstructured":"Michelucci, U. (2019). Advanced Applied Deep Learning.","DOI":"10.1007\/978-1-4842-4976-5"},{"issue":"1","key":"1870_CR9","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1109\/tetc.2020.3026179","volume":"10","author":"A Amirany","year":"2022","unstructured":"Amirany, A., Moaiyeri, M. H., & Jafari, K. (2022). Nonvolatile associative memory design based on Spintronic Synapses and CNTFET neurons. IEEE Transactions on Emerging Topics in Computing, 10(1), 428\u2013437. https:\/\/doi.org\/10.1109\/tetc.2020.3026179.","journal-title":"IEEE Transactions on Emerging Topics in Computing"},{"key":"1870_CR10","doi-asserted-by":"publisher","unstructured":"Amirany, A., Epperson, G., Patooghy, A., & Rajaei, R. (2021). Accuracy adaptive spintronic adder for image Processing Applications. IEEE Transactions on Magnetics, 1\u20131. https:\/\/doi.org\/10.1109\/tmag.2021.3069161.","DOI":"10.1109\/tmag.2021.3069161"},{"key":"1870_CR11","doi-asserted-by":"crossref","unstructured":"Mahmoodpour, M., Amirany, A., Moaiyeri, M. H., & Jafari, K. (2022). \u201cA Learning Based Contrast Specific no Reference Image Quality Assessment Algorithm,\u201c presented at the 2022 International Conference on Machine Vision and Image Processing (MVIP),","DOI":"10.1109\/MVIP53647.2022.9738784"},{"key":"1870_CR12","doi-asserted-by":"crossref","unstructured":"Amirany, A., Meghdadi, M., Moaiyeri, M. H., & Jafari, K. (2021). \u201cStochastic Spintronic Neuron with Application to Image Binarization,\u201c presented at the 2021 26th International Computer Conference, Computer Society of Iran (CSICC),","DOI":"10.1109\/CSICC52343.2021.9420559"},{"key":"1870_CR13","unstructured":"Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT press."},{"key":"1870_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/lmag.2021.3092995","volume":"12","author":"A Amirany","year":"2021","unstructured":"Amirany, A., Jafari, K., & Moaiyeri, M. H. (2021). A Task-Schedulable nonvolatile spintronic field-programmable gate array. IEEE Magnetics Letters, 12, 1\u20134. https:\/\/doi.org\/10.1109\/lmag.2021.3092995.","journal-title":"IEEE Magnetics Letters"},{"issue":"5","key":"1870_CR15","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1007\/s11265-021-01651-5","volume":"93","author":"L Kalms","year":"2021","unstructured":"Kalms, L., Rad, P. A., Ali, M., Iskander, A., & G\u00f6hringer, D. (2021). A Parametrizable High-Level Synthesis Library for accelerating neural networks on FPGAs. Journal of Signal Processing Systems, 93(5), 513\u2013529. https:\/\/doi.org\/10.1007\/s11265-021-01651-5.","journal-title":"Journal of Signal Processing Systems"},{"issue":"3","key":"1870_CR16","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1007\/s10470-020-01630-z","volume":"102","author":"M Ahmadinejad","year":"2020","unstructured":"Ahmadinejad, M., Taheri, N., & Moaiyeri, M. H. (2020). Energy-efficient magnetic approximate full adder with spin-hall assistance for signal processing applications. Analog Integrated Circuits and Signal Processing, 102(3), 645\u2013657. https:\/\/doi.org\/10.1007\/s10470-020-01630-z.","journal-title":"Analog Integrated Circuits and Signal Processing"},{"key":"1870_CR17","doi-asserted-by":"crossref","unstructured":"Taheri, N., Manely, A., Pang, A. R., & Alian, M. (2022). \u201cProfiling an Architectural Simulator,\u201c presented at the 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS),","DOI":"10.1109\/ISPASS55109.2022.00032"},{"key":"1870_CR18","doi-asserted-by":"crossref","unstructured":"Khaledyan, D., Amirany, A., Jafari, K., Moaiyeri, M. H., Khuzani, A. Z., & Mashhadi, N. (2020). \u201cLow-Cost Implementation of Bilinear and Bicubic Image Interpolation for Real-Time Image Super-Resolution,\u201c presented at the 2020 IEEE Global Humanitarian Technology Conference (GHTC),","DOI":"10.1109\/GHTC46280.2020.9342625"},{"key":"1870_CR19","doi-asserted-by":"publisher","unstructured":"Amirany, A., Jafari, K., & Moaiyeri, M. H. (2022). Double data rate magnetic RAM for efficient Artificial Intelligence and Cache Applications. IEEE Transactions on Magnetics, 1\u20131. https:\/\/doi.org\/10.1109\/tmag.2022.3162030.","DOI":"10.1109\/tmag.2022.3162030"},{"key":"1870_CR20","doi-asserted-by":"publisher","DOI":"10.1149\/2162-8777\/ac77bb","author":"M BahmanAbadi","year":"2022","unstructured":"BahmanAbadi, M., Amirany, A., Jafari, K., & Moaiyeri, M. H. (2022). Efficient and highly Reliable Spintronic non-volatile quaternary memory based on Carbon Nanotube FETs and Multi-TMR MTJs. ECS Journal of Solid State Science and Technology. https:\/\/doi.org\/10.1149\/2162-8777\/ac77bb.","journal-title":"ECS Journal of Solid State Science and Technology"},{"key":"1870_CR21","doi-asserted-by":"publisher","unstructured":"Kosarirad, H., Ghasempour Nejati, M., Saffari, A., Khishe, M., Mohammadi, M., & Du, S. (2022). \u201cFeature Selection and Training Multilayer Perceptron Neural Networks Using Grasshopper Optimization Algorithm for Design Optimal Classifier of Big Data Sonar,\u201c Journal of Sensors, vol. pp.\u00a01\u201314, 2022, doi: https:\/\/doi.org\/10.1155\/2022\/9620555.","DOI":"10.1155\/2022\/9620555"},{"key":"1870_CR22","doi-asserted-by":"publisher","unstructured":"Dinc\u0103 L\u0103z\u0103rescu, A. M., Moldovanu, S., & Moraru, L. (2022). \u201cA Fingerprint Matching Algorithm Using the Combination of Edge Features and Convolution Neural Networks,\u201c Inventions, vol.\u00a07, no. 2, doi: https:\/\/doi.org\/10.3390\/inventions7020039.","DOI":"10.3390\/inventions7020039"},{"key":"1870_CR23","doi-asserted-by":"publisher","unstructured":"Mohamed, M. H. (2021). Fingerprint classification using deep convolutional neural network. Journal of Electrical and Electronic Engineering, 9(5), https:\/\/doi.org\/10.11648\/j.jeee.20210905.11.","DOI":"10.11648\/j.jeee.20210905.11"},{"key":"1870_CR24","unstructured":"An Introduction to Neural Networks. Taylor \\\\& Francis, Inc., 1997, p.\u00a0288."},{"key":"1870_CR25","doi-asserted-by":"publisher","first-page":"65326","DOI":"10.1109\/access.2022.3183113","volume":"10","author":"AB Mazlan","year":"2022","unstructured":"Mazlan, A. B., Ng, Y. H., & Tan, C. K. (2022). A fast indoor positioning using a Knowledge-Distilled Convolutional neural network (KD-CNN). Ieee Access : Practical Innovations, Open Solutions, 10, 65326\u201365338. https:\/\/doi.org\/10.1109\/access.2022.3183113.","journal-title":"Ieee Access : Practical Innovations, Open Solutions"},{"issue":"2","key":"1870_CR26","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/s10489-019-01530-4","volume":"50","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Zhou, B., Han, C., Guo, T., & Qin, J. (2019). A novel method based on deep learning for aligned fingerprints matching. Applied Intelligence, 50(2), 397\u2013416. https:\/\/doi.org\/10.1007\/s10489-019-01530-4.","journal-title":"Applied Intelligence"},{"key":"1870_CR27","doi-asserted-by":"publisher","unstructured":"Militello, C., Rundo, L., Vitabile, S., & Conti, V. (2021). \u201cFingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons,\u201c Symmetry, vol.\u00a013, no. 5, doi: https:\/\/doi.org\/10.3390\/sym13050750.","DOI":"10.3390\/sym13050750"},{"issue":"6","key":"1870_CR28","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017). ImageNet classification with deep convolutional neural networks. Communications of the ACM, 60(6), 84\u201390. https:\/\/doi.org\/10.1145\/3065386.","journal-title":"Communications of the ACM"},{"key":"1870_CR29","doi-asserted-by":"publisher","unstructured":"Gunawan, T. S., et al. (2020). Development of video-based emotion recognition using deep learning with Google Colab. TELKOMNIKA (Telecommunication Computing Electronics and Control), 18(5), https:\/\/doi.org\/10.12928\/telkomnika.v18i5.16717.","DOI":"10.12928\/telkomnika.v18i5.16717"},{"key":"1870_CR30","doi-asserted-by":"publisher","unstructured":"Kanani*, P., & Padole, D. M. (2019). Deep learning to detect skin Cancer using Google Colab. International Journal of Engineering and Advanced Technology, 8, 2176\u20132183. https:\/\/doi.org\/10.35940\/ijeat.F8587.088619.","DOI":"10.35940\/ijeat.F8587.088619"},{"issue":"3","key":"1870_CR31","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1109\/34.990140","volume":"24","author":"D Maio","year":"2002","unstructured":"Maio, D., Maltoni, D., Cappelli, R., Wayman, J. L., & Jain, A. K. (2002). FVC2000: Fingerprint verification competition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3), 402\u2013412. https:\/\/doi.org\/10.1109\/34.990140.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"1870_CR32","unstructured":"Maio, D., Maltoni, D., Cappelli, R., Wayman, J. L., & Jain, A. K. (2002). \u201cFVC2002: Second Fingerprint Verification Competition,\u201c presented at the Object recognition supported by user interaction for service robots,"},{"key":"1870_CR33","doi-asserted-by":"crossref","unstructured":"Szegedy, C. (2015). \u201cGoing deeper with convolutions,\u201c in Proceedings of the IEEE conference on computer vision and pattern recognition, pp.\u00a01\u20139.","DOI":"10.1109\/CVPR.2015.7298594"}],"container-title":["Journal of Signal Processing Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-023-01870-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11265-023-01870-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-023-01870-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T14:41:57Z","timestamp":1684334517000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11265-023-01870-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["1870"],"URL":"https:\/\/doi.org\/10.1007\/s11265-023-01870-y","relation":{},"ISSN":["1939-8018","1939-8115"],"issn-type":[{"value":"1939-8018","type":"print"},{"value":"1939-8115","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4]]},"assertion":[{"value":"2 February 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 April 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare relevant to this article\u2019s content.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}