FPQuant: A deep learning-based scalable framework for fingerprint phenomics quantification in large-scale biometric population studies
Year: 2025
Type: article
Language: en
Topic: Biometric Identification and Security
Authors and affiliations:
raw_author_name: Zhiyong Han
raw_affiliation_strings: State Key Laboratory of Genetics and Development of Complex Phenotypes, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, and Zhang jiang Fudan International Innovation Center, Fudan University, Shanghai 200433, China
raw_author_name: Yelin Shi
raw_affiliation_strings: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
raw_author_name: Zhao Zhang
raw_affiliation_strings: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
raw_author_name: Mu Li
raw_affiliation_strings: Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai 200438, China
raw_author_name: Haiguo Zhang
raw_affiliation_strings: Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai 200438, China
raw_author_name: Jingze Tan
raw_affiliation_strings: Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai 200438, China
raw_author_name: Wentian Zhen
raw_affiliation_strings: Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai 200438, China
raw_author_name: Tingting Liu
raw_affiliation_strings: State Key Laboratory of Genetics and Development of Complex Phenotypes, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, and Zhang jiang Fudan International Innovation Center, Fudan University, Shanghai 200433, China
raw_author_name: Xueying Wang
raw_affiliation_strings: State Key Laboratory of Genetics and Development of Complex Phenotypes, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, and Zhang jiang Fudan International Innovation Center, Fudan University, Shanghai 200433, China
raw_author_name: Chengyan Wang
raw_affiliation_strings: State Key Laboratory of Genetics and Development of Complex Phenotypes, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, and Zhang jiang Fudan International Innovation Center, Fudan University, Shanghai 200433, China
raw_author_name: Jiucun Wang
raw_affiliation_strings: State Key Laboratory of Genetics and Development of Complex Phenotypes, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, and Zhang jiang Fudan International Innovation Center, Fudan University, Shanghai 200433, China
raw_author_name: Li Jin
raw_affiliation_strings: State Key Laboratory of Genetics and Development of Complex Phenotypes, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, and Zhang jiang Fudan International Innovation Center, Fudan University, Shanghai 200433, China
raw_author_name: Sijia Wang
raw_affiliation_strings: CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
raw_author_name: Manhua Liu
raw_affiliation_strings: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
raw_author_name: Jinxi Li
raw_affiliation_strings: State Key Laboratory of Genetics and Development of Complex Phenotypes, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, and Zhang jiang Fudan International Innovation Center, Fudan University, Shanghai 200433, China