{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T22:10:09Z","timestamp":1744495809033,"version":"3.40.4"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819645886","type":"print"},{"value":"9789819645893","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-4589-3_5","type":"book-chapter","created":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T21:30:26Z","timestamp":1744493426000},"page":"66-76","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["MLDN-Net: Multi-Level Denoising Neural Network for\u00a0Wet Fingerprint via\u00a0Cyclic Multi-Variate Function"],"prefix":"10.1007","author":[{"given":"Chao-Lin","family":"Kuo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2818-1125","authenticated-orcid":false,"given":"Ching-Te","family":"Chiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3188-4374","authenticated-orcid":false,"given":"Mao-Hsiu","family":"Hsu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,13]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Adiga, V.S., Sivaswamy, J.: FPD-m-net: fingerprint image denoising and inpainting using m-net based convolutional neural networks. In: Inpainting and Denoising Challenges, pp. 51\u201361. Springer, Cham (2019)","DOI":"10.1007\/978-3-030-25614-2_4"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Cai, S., Tian, Y., Lui, H., Zeng, H., Wu, Y., Chen, G.: Dense-unet: a novel multiphoton in vivo cellular image segmentation model based on a convolutional neural network. Quant. Imaging Med. Surg. 10(6) (2020). https:\/\/qims.amegroups.org\/article\/view\/43519","DOI":"10.21037\/qims-19-1090"},{"key":"5_CR3","doi-asserted-by":"publisher","unstructured":"Cunha, N.D.S., Gomes, H.M., Batista, L.V.: Residual m-net with frequency-domain loss function for latent fingerprint enhancement. In: 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), vol.\u00a01, pp. 198\u2013203 (2022). https:\/\/doi.org\/10.1109\/SIBGRAPI55357.2022.9991793","DOI":"10.1109\/SIBGRAPI55357.2022.9991793"},{"key":"5_CR4","doi-asserted-by":"publisher","unstructured":"Dai, J., et al.: Deformable convolutional networks. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 764\u2013773 (2017). https:\/\/doi.org\/10.1109\/ICCV.2017.89","DOI":"10.1109\/ICCV.2017.89"},{"key":"5_CR5","doi-asserted-by":"publisher","unstructured":"Hendre, M., Patil, S., Abhyankar, A.: Biometric recognition robust to partial and poor quality fingerprints using distinctive region adaptive sift keypoint fusion. Multimedia Tools Appl. 81 (2022). https:\/\/doi.org\/10.1007\/s11042-021-11686-2","DOI":"10.1007\/s11042-021-11686-2"},{"issue":"5","key":"5_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LSENS.2024.3387419","volume":"8","author":"MH Hsu","year":"2024","unstructured":"Hsu, M.H., Hsu, Y.C., Chiu, C.T.: Tiny partial fingerprint sensor quality assessment. IEEE Sens. Lett. 8(5), 1\u20134 (2024). https:\/\/doi.org\/10.1109\/LSENS.2024.3387419","journal-title":"IEEE Sens. Lett."},{"key":"5_CR7","doi-asserted-by":"publisher","unstructured":"Javid, J., Mughal, M.A., Karim, M.: Using KNN algorithm for classification of distribution transformers health index. In: 2021 International Conference on Innovative Computing (ICIC), pp.\u00a01\u20136 (2021).https:\/\/doi.org\/10.1109\/ICIC53490.2021.9693013","DOI":"10.1109\/ICIC53490.2021.9693013"},{"key":"5_CR8","doi-asserted-by":"publisher","unstructured":"Ji, S.W., et al.: Xydeblur: divide and conquer for single image deblurring. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 17400\u201317409 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.01690","DOI":"10.1109\/CVPR52688.2022.01690"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Li, J., Feng, J., Kuo, C.C.J.: Deep convolutional neural network for latent fingerprint enhancement. Sig. Process. Image Commun. 60, 52\u201363 (2018)","DOI":"10.1016\/j.image.2017.08.010"},{"key":"5_CR10","unstructured":"Liu, R., et al.: An intriguing failing of convolutional neural networks and the coordconv solution (2018)"},{"issue":"2","key":"5_CR11","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91\u2013110 (2004). https:\/\/doi.org\/10.1023\/B:VISI.0000029664.99615.94","journal-title":"Int. J. Comput. Vision"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Neshatavar, R., Yavartanoo, M., Son, S., Lee, K.M.: CVF-SID: cyclic multi-variate function for self-supervised image denoising by disentangling noise from image. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)","DOI":"10.1109\/CVPR52688.2022.01706"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Park, U., Pankanti, S., Jain, A.K.: Fingerprint verification using sift features. In: SPIE Defense + Commercial Sensing (2008). https:\/\/api.semanticscholar.org\/CorpusID:18315414","DOI":"10.1117\/12.778804"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp. 234\u2013241. Springer, Cham (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"5_CR15","doi-asserted-by":"publisher","unstructured":"Shang, T., Xia, X., Jun, Z.: Mime-KNN: Improve KNN classifier performance include classification accuracy and time consumption. DEStech Trans. Comput. Sci. Eng. (2018). https:\/\/doi.org\/10.12783\/dtcse\/csse2018\/24490","DOI":"10.12783\/dtcse\/csse2018\/24490"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Shen, Z., Xu, Y., Lu, G.: CNN-based high-resolution fingerprint image enhancement for pore detection and matching. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 426\u2013432 (2019). https:\/\/api.semanticscholar.org\/CorpusID:211242597","DOI":"10.1109\/SSCI44817.2019.9002830"},{"key":"5_CR17","doi-asserted-by":"publisher","unstructured":"Taunk, K., De, S., Verma, S., Swetapadma, A.: A brief review of nearest neighbor algorithm for learning and classification. In: 2019 International Conference on Intelligent Computing and Control Systems (ICCS), pp. 1255\u20131260 (2019). https:\/\/doi.org\/10.1109\/ICCS45141.2019.9065747","DOI":"10.1109\/ICCS45141.2019.9065747"},{"key":"5_CR18","doi-asserted-by":"publisher","unstructured":"Zang, B., Huang, R., Wang, L., Chen, J., Tian, F., Wei, X.: An improved KNN algorithm based on minority class distribution for imbalanced dataset. In: 2016 International Computer Symposium (ICS), pp. 696\u2013700 (2016). https:\/\/doi.org\/10.1109\/ICS.2016.0143","DOI":"10.1109\/ICS.2016.0143"}],"container-title":["Communications in Computer and Information Science","Technologies and Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-4589-3_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T21:30:30Z","timestamp":1744493430000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-4589-3_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819645886","9789819645893"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-4589-3_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"13 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TAAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Technologies and Applications of Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hsinchu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"taai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}