{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:40:14Z","timestamp":1755848414019,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,12,23]]},"DOI":"10.1145\/3579654.3579697","type":"proceedings-article","created":{"date-parts":[[2023,3,14]],"date-time":"2023-03-14T16:09:40Z","timestamp":1678810180000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Preprocessing Genuine and Fake Fingerprint Images and Recognition Based on Neural Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7839-6584","authenticated-orcid":false,"given":"Ke","family":"Han","sequence":"first","affiliation":[{"name":"Institute of Forensic Science Ministry of Public Security China, China"}]}],"member":"320","published-online":{"date-parts":[[2023,3,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1111\/1556-4029.12203"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/1556-4029.12105"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Cedric Neumann Ian W. Evett James E. Skerrett and Ismael Mateos-Garcia. 2011. Quantitative assessment of evidential weight for a fingerprint comparison I. Generalisation to the comparison of a mark with set of ten prints from a suspect. Forensic Science International 207 (2011) 101\u2013105.","DOI":"10.1016\/j.forsciint.2010.09.006"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Nicole M. Egli Christophe Champod and Pierre Margot. 2007. Evidence evaluation in fingerprint comparison and automated fingerprint identification systems\u2014Modelling within finger variability. Forensic Science International 167 (2007) 189\u2013195.","DOI":"10.1016\/j.forsciint.2006.06.054"},{"key":"e_1_3_2_1_5_1","first-page":"299","article-title":"AI fingerprint recognition and its policing practical utilization","volume":"46","author":"Jie Xu","year":"2021","unstructured":"Xu Jie, Liu Zheyuan, Huo Xin, Jiang Jing, Dai Yuyang, and Hu Wangyan. 2021. AI fingerprint recognition and its policing practical utilization. Forensic Science and Technology 46, 3(2021), 299\u2013304.","journal-title":"Forensic Science and Technology"},{"key":"e_1_3_2_1_6_1","first-page":"221","article-title":"Review into progressing researches on recognition of forged fingerprints","volume":"47","author":"Yufan L\u00fc","year":"2022","unstructured":"L\u00fc Yufan, Zhang Yongliang, Wu Hao, Wang Zizheng, Zou Jiali, Qin Qi, and Liu Huan. 2022. Review into progressing researches on recognition of forged fingerprints. Forensic Science and Technology 47, 3(2022), 221\u2013226.","journal-title":"Forensic Science and Technology"},{"key":"e_1_3_2_1_7_1","first-page":"233","article-title":"Characteristics of imprints from bionic silicone fingerprint membrane","volume":"47","author":"Jianjun Li","year":"2022","unstructured":"Li Jianjun, Wang Zhonglai, and Zhong Miao. 2022. Characteristics of imprints from bionic silicone fingerprint membrane. Forensic Science and Technology 47, 3(2022), 233\u2013238.","journal-title":"Forensic Science and Technology"},{"key":"e_1_3_2_1_8_1","first-page":"58","article-title":"Characteristics of marks imprinted from inked silicone biomimetic fingerprint film","volume":"46","author":"Huan Jiang","year":"2021","unstructured":"Jiang Huan, Hou Shuo, and Gao Shengji. 2021. Characteristics of marks imprinted from inked silicone biomimetic fingerprint film. Forensic Science and Technology 46, 1(2021), 58\u201361.","journal-title":"Forensic Science and Technology"},{"key":"e_1_3_2_1_9_1","first-page":"91","article-title":"Testing of high-imitation fingerprint from silicone gel","volume":"46","author":"Zhenzhen Li","year":"2021","unstructured":"Li Zhenzhen. 2021. Testing of high-imitation fingerprint from silicone gel. Forensic Science and Technology 46, 1(2021), 91\u201395.","journal-title":"Forensic Science and Technology"},{"key":"e_1_3_2_1_10_1","volume-title":"A survey of deep learning: Platforms, applications and emerging research trends","author":"Hatcher William Grant","year":"2018","unstructured":"William Grant Hatcher and Wei Yu. 2018. A survey of deep learning: Platforms, applications and emerging research trends. IEEE Access 6, (2018), 24411\u201324432."},{"key":"e_1_3_2_1_11_1","first-page":"1229","article-title":"Review of convolutional neural network","volume":"40","author":"Fei-Yan Zhou","year":"2017","unstructured":"Zhou Fei-Yan, Jin Lin-Peng, and Dong Jun. 2017. Review of convolutional neural network. Chinese Journal of Computers 40, 6(2017), 1229\u20131251.","journal-title":"Chinese Journal of Computers"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2836950"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2018.5466"},{"key":"e_1_3_2_1_14_1","first-page":"190","article-title":"Robustness certification research on deep learning models: A survey","volume":"45","author":"Shou-Ling Ji","year":"2022","unstructured":"Ji Shou-Ling, Du Tian-Yu, Deng Shui-Guang, Cheng Peng, Shi Jie, Yang Min, and Li Bo. 2022. Robustness certification research on deep learning models: A survey. Chinese Journal of Computers 45, 1(2022), 190\u2013206.","journal-title":"Chinese Journal of Computers"},{"key":"e_1_3_2_1_15_1","first-page":"150","article-title":"Survey on large-scale graph neural network systems","volume":"33","author":"Gang Zhao","year":"2022","unstructured":"Zhao Gang, Wang Qian-Ge, Yao Feng, Zhang Yan-Feng, and Yu Ge. 2022. Survey on large-scale graph neural network systems. Journal of Software 33, 1(2022), 150\u2013170.","journal-title":"Journal of Software"},{"key":"e_1_3_2_1_16_1","first-page":"113","article-title":"Multi-layers context convolutional neural network for object detection","volume":"33","author":"Hao Wang","year":"2020","unstructured":"Wang Hao, Shan Wenjing, and Fang Baofu. 2020. Multi-layers context convolutional neural network for object detection. Pattern Recognition and Artificial Intelligence 33, 2(2020), 113\u2013120.","journal-title":"Pattern Recognition and Artificial Intelligence"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2788044"},{"key":"e_1_3_2_1_18_1","first-page":"1483","article-title":"Image denoising via residual network based on perceptual loss","volume":"23","author":"Congzhong Wu","year":"2018","unstructured":"Wu Congzhong, Chen Xi, Ji Dong, and Zhan Shu. 2018. Image denoising via residual network based on perceptual loss. Journal of Image and Graphics 23, 10(2018), 1483\u20131491.","journal-title":"Journal of Image and Graphics"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.11834\/jig.190682"},{"key":"e_1_3_2_1_20_1","first-page":"1276","article-title":"Deep learning based monocular depth estimation: A survey","volume":"45","author":"Jun-Jun Jiang","year":"2022","unstructured":"Jiang Jun-Jun, Li Zhen-Yu, and Liu Xian-Ming. 2022. Deep learning based monocular depth estimation: A survey. Chinese Journal of Computers 45, 6(2022), 1276\u20131307.","journal-title":"Chinese Journal of Computers"},{"key":"e_1_3_2_1_21_1","first-page":"455","article-title":"Cross-view gait recognition method based on multi-branch residual deep network","volume":"34","author":"Shaohui Hu","year":"2021","unstructured":"Hu Shaohui, Wang Xiuhui, and Liu Yanqiu. 2021. Cross-view gait recognition method based on multi-branch residual deep network. Pattern Recognition and Artificial Intelligence 34, 5(2021), 455\u2013462.","journal-title":"Pattern Recognition and Artificial Intelligence"},{"key":"e_1_3_2_1_22_1","first-page":"1272","article-title":"Relationship between saturation and brightness value in HSV color space","volume":"26","author":"Ling Ma","year":"2014","unstructured":"Ma Ling and Zhang Xiaohui. 2014. Relationship between saturation and brightness value in HSV color space. Journal of Computer-Aided Design & Computer Graphics 26, 8(2014), 1272\u20131278.","journal-title":"Journal of Computer-Aided Design & Computer Graphics"},{"volume-title":"Deep learning principle and PyTorch practice (The","author":"Club Swarma","key":"e_1_3_2_1_23_1","unstructured":"Swarma Club. 2022. Deep learning principle and PyTorch practice (The Second Edition). The People's Posts and Telecommunications Press."},{"volume-title":"A pellucid introduction to PyTorch from model to source code","author":"Xiaojie Zhang","key":"e_1_3_2_1_24_1","unstructured":"Zhang Xiaojie. 2021. A pellucid introduction to PyTorch from model to source code. Publishing House of Electronics Industry."}],"event":{"name":"ACAI 2022: 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","acronym":"ACAI 2022","location":"Sanya China"},"container-title":["Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579654.3579697","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3579654.3579697","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:58:31Z","timestamp":1755845911000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579654.3579697"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,23]]},"references-count":24,"alternative-id":["10.1145\/3579654.3579697","10.1145\/3579654"],"URL":"https:\/\/doi.org\/10.1145\/3579654.3579697","relation":{},"subject":[],"published":{"date-parts":[[2022,12,23]]},"assertion":[{"value":"2023-03-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}