{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T17:22:33Z","timestamp":1776100953176,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,2]]},"DOI":"10.1109\/wifs61860.2024.10810674","type":"proceedings-article","created":{"date-parts":[[2024,12,27]],"date-time":"2024-12-27T19:10:25Z","timestamp":1735326625000},"page":"1-6","source":"Crossref","is-referenced-by-count":4,"title":["Effectiveness of learning-based image codecs on fingerprint storage"],"prefix":"10.1109","author":[{"given":"Daniele","family":"Mari","sequence":"first","affiliation":[{"name":"Università di Padova,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saverio","family":"Cavasin","sequence":"additional","affiliation":[{"name":"Università di Padova,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simone","family":"Milani","sequence":"additional","affiliation":[{"name":"Università di Padova,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mauro","family":"Conti","sequence":"additional","affiliation":[{"name":"Università di Padova,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Types of biometrics - fingerprint: Key considerations"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.6028\/NIST.SP.500-300-upd","article-title":"Jpeg 2000 codec certification guidance for 1000 ppi fingerprint friction ridge imagery","author":"Orandi","year":"2021"},{"key":"ref3","volume-title":"JPEG 2000 Part I: Final Draft International Standard","year":"2000"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3101953"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1117\/12.258243"},{"key":"ref6","article-title":"End-to-end optimized image compression","author":"Ball\u00e9","year":"2016","journal-title":"arXiv preprint arXiv:1611.01704"},{"key":"ref7","article-title":"Lossy image compression with compressive autoencoders","volume-title":"International conference on learning representations","author":"Theis"},{"key":"ref8","article-title":"Variational image compression with a scale hyperprior","author":"Ball\u00e9","year":"2018","journal-title":"arXiv preprint arXiv:1802.01436"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01453"},{"key":"ref11","volume-title":"Final Call for Proposals for JPEG AI","year":"2022"},{"key":"ref12","first-page":"11913","article-title":"Highfidelity generative image compression","volume":"33","author":"Mentzer","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","article-title":"Lossy image compression with conditional diffusion models","volume":"36","author":"Yang","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"107387","DOI":"10.1016\/j.compeleceng.2021.107387","article-title":"An intelligent system for automatic fingerprint identification using feature fusion by gabor filter and deep learning","volume":"95","author":"Nur-A-Alam","year":"2021","journal-title":"Computers and Electrical Engineering"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.32628\/ijsrset23103216"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/a12110241"},{"key":"ref17","article-title":"Deep encoder-decoder neural network for fingerprint image denoising and inpainting","author":"Fan","year":"2020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2174049"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.02.012"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2024.07.018"},{"key":"ref21","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume":"31","author":"Minnen","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190935"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00563"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.17577\/IJERTV4IS030726"},{"key":"ref25","first-page":"12 184","article-title":"Flexible neural image compression via code editing","volume":"35","author":"Gao","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref26","article-title":"Compressai: a pytorch library and evaluation platform for end-to-end compression research","author":"B\u00e9gaint","year":"2020","journal-title":"arXiv preprint arXiv:2011.03029"},{"key":"ref27","article-title":"Density modeling of images using a generalized normalization transformation","author":"Ball\u00e9","year":"2015","journal-title":"arXiv preprint arXiv:1511.06281"},{"key":"ref28","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint arXiv:1412.6980"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/34.709565"},{"issue":"18","key":"ref30","doi-asserted-by":"crossref","DOI":"10.3390\/app131810000","article-title":"Privacy-friendly datasets of synthetic fingerprints for evaluation of biometric algorithms","volume":"13","author":"Makrushin","year":"2023","journal-title":"Applied Sciences"}],"event":{"name":"2024 IEEE International Workshop on Information Forensics and Security (WIFS)","location":"Rome, Italy","start":{"date-parts":[[2024,12,2]]},"end":{"date-parts":[[2024,12,5]]}},"container-title":["2024 IEEE International Workshop on Information Forensics and Security (WIFS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10810660\/10810670\/10810674.pdf?arnumber=10810674","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,28]],"date-time":"2024-12-28T06:08:18Z","timestamp":1735366098000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10810674\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/wifs61860.2024.10810674","relation":{},"subject":[],"published":{"date-parts":[[2024,12,2]]}}}