CPGAN: Collective Punishment Generative Adversarial Network for Dry Fingerprint Image Enhancement

2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS) Pub Date : 2023-06-11 DOI:10.1109/AICAS57966.2023.10168628

Yu-Chi Su, Ching-Te Chiu, Chih-Han Cheng, Kuan-Hsien Liu, Tsung-Chan Lee, Jia-Lin Chen, Jie-Yu Luo, Wei-Chang Chung, Yao-Ren Chang, Kuan-Ying Ho

{"title":"CPGAN: Collective Punishment Generative Adversarial Network for Dry Fingerprint Image Enhancement","authors":"Yu-Chi Su, Ching-Te Chiu, Chih-Han Cheng, Kuan-Hsien Liu, Tsung-Chan Lee, Jia-Lin Chen, Jie-Yu Luo, Wei-Chang Chung, Yao-Ren Chang, Kuan-Ying Ho","doi":"10.1109/AICAS57966.2023.10168628","DOIUrl":null,"url":null,"abstract":"Fingerprint has been widely used in our daily life, such as mobile. However, some circumstances may lead to low unlocking rate, like fingerprint at low temperature(dry fingerprint) or washed fingerprint. Our method mainly focuses on the former by making it close to normal temperature fingerprint. The main idea of our method, which called \"CPGAN\", is to improve GAN to boost the quality of the enhanced fingerprint. Our objective is to make the generator generates the high quality of enhanced fingerprint. The method is divided into two parts: \"strengthening the discriminator\" and \"strengthening the generator\". For strengthening the generator, we adopt the mechanism of \"Collective Punishment\" to our work. For strengthening the discriminator, we utilize two generators and feature extractor to boost the discriminator. In our experiments, the results surpass the state-of-the-arts on FVC2002 about 75%.","PeriodicalId":296649,"journal":{"name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICAS57966.2023.10168628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Fingerprint has been widely used in our daily life, such as mobile. However, some circumstances may lead to low unlocking rate, like fingerprint at low temperature(dry fingerprint) or washed fingerprint. Our method mainly focuses on the former by making it close to normal temperature fingerprint. The main idea of our method, which called "CPGAN", is to improve GAN to boost the quality of the enhanced fingerprint. Our objective is to make the generator generates the high quality of enhanced fingerprint. The method is divided into two parts: "strengthening the discriminator" and "strengthening the generator". For strengthening the generator, we adopt the mechanism of "Collective Punishment" to our work. For strengthening the discriminator, we utilize two generators and feature extractor to boost the discriminator. In our experiments, the results surpass the state-of-the-arts on FVC2002 about 75%.

查看原文本刊更多论文

用于干指纹图像增强的集体惩罚生成对抗网络

指纹已经在我们的日常生活中得到了广泛的应用，比如手机。但是，有些情况可能会导致解锁率低，例如低温指纹(干指纹)或水洗指纹。我们的方法主要针对前者，使其更接近于常温指纹。我们的方法被称为“CPGAN”，其主要思想是改进GAN以提高增强指纹的质量。我们的目标是使生成器生成高质量的增强指纹。该方法分为两部分:“增强鉴别器”和“增强生成器”。为了加强发电机，我们在工作中采用了“集体惩罚”机制。为了增强鉴别器，我们使用了两个生成器和特征提取器来增强鉴别器。在我们的实验中，结果优于FVC2002上的最新技术约75%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)

自引率

0.00%

发文量