Recognition and classification of damaged fingerprint based on deep learning fuzzy theory-Reference-Cited by-同舟云学术

Recognition and classification of damaged fingerprint based on deep learning fuzzy theory

Published:2020-04-30 Issue:4 Volume:38 Page:3529-3537
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Yang Xinfeng¹²,Hu Qiping¹,Li Shuaihao¹

Affiliation:

1. School of Computer Science, Wuhan University, Wuhan, China

2. School of Computer and Information Engineering, Nanyang Institute of Technology, Nanyang, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference16 articles.

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3. Origin traceability of Heilongjiang soybean using fingerprint of mineral elements;Lu;Transactions of the Chinese Society of Agricultural Engineering,2017

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5. Identification and verification of potential piRNAs from domesticated yak testis;Gong;Reproduction,2018

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