{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/improving-fingerprint-pore-detection-with-a","title":"Improving Fingerprint Pore Detection with a Small FCN","arxiv_id":"1811.06846","date":"2018-11-14","proceeding":null,"authors":["Gabriel Dahia","Maurício Pamplona Segundo"],"abstract":"In this work, we investigate if previously proposed CNNs for fingerprint pore\ndetection overestimate the number of required model parameters for this task.\nWe show that this is indeed the case by proposing a fully convolutional neural\nnetwork that has significantly fewer parameters. We evaluate this model using a\nrigorous and reproducible protocol, which was, prior to our work, not available\nto the community. Using our protocol, we show that the proposed model, when\ncombined with post-processing, performs better than previous methods, albeit\nbeing much more efficient. All our code is available at\nhttps://github.com/gdahia/fingerprint-pore-detection","url_abs":"http://arxiv.org/abs/1811.06846v1","url_pdf":"http://arxiv.org/pdf/1811.06846v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"improving-fingerprint-pore-detection-with-a","repo_url":"https://github.com/azimibragimov/fingerprint-pore-detection-a-survey","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}