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为贯彻落实《"十四五”数字经济发展规划》（国发〔2021〕29号），提升我国生物特征识别产业竞争力，推动我国生物特征识别产业做大做强，助力经济社会发展，全国信息技术标准化技术委员会生物特征识别分技术委员会（SAC/TC28/SC37）组织编制"生物特征识别技术应用案例集”，并对当前生物特征识别技术应用情况进行总结分析。本案例集将应用案例划分为四个主要部分：行业应用篇、新兴应用篇、融合应用篇及支撑技术应用篇，共收录了55项案例。通过汇编生物特征识别技术应用实例，充分展现了生物特征识别技术在多个关键领域的实际应用成效和重要影响，并希望为技术使用方、研究人员、技术开发者、标准及政策制定者提供全面的参考资源，使生物特征识别技术应用案例集成为生物特征识别解决方案选择的知识数据库，项目需求对接的桥梁，让生物特征识别技术持续为人类社会带来更加美好的生活体验。

第1 章 行业应用篇·········································································.1
1.1 概述·······················································································.1
1.2 行业应用特点分析··································································.1
1.2.1 指标优异··············································································.2
1.2.2 易用可靠··············································································.2
1.2.3 安全性高··············································································.2
1.2.4 管理高效··············································································.3
1.3 发展建议················································································.3
1.4 行业应用案例·········································································.3
1.4.1.1 案例1：金融行业银行指静脉身份认证系统···································.3
1.4.1.2 案例2：金融行业指静脉识别管理系统··········································7
1.4.1.3 案例3：金融行业“声纹+”可信身份认证解决方案·························11
1.4.1.4 案例4：教育考试考生指静脉身份验证系统·································.14
1.4.1.5 案例5：基于人脸识别的煤矿门禁考勤系统·································.18
1.4.1.6 案例6：搭载虹膜识别系统的辅运系统智能化信息管理平台··············.21
1.4.1.7 案例7：基于虹膜识别身份认证的人事档案管理系统······················.26
1.4.1.8 案例8：基于指纹识别的数据存储设备应用·································.30
1.4.1.9 案例9：掌静脉识别智能门锁·················································.33
1.4.1.10 案例10：3D 人脸识别智能门锁解决方案···································.37
1.4.1.11 案例11：基于虹膜动态加密解密的电子文件流转系统····················.40
1.4.1.12 案例12：基于虹膜识别的智能文件交换箱·································.44
1.4.1.13 案例13：基于虹膜识别安全登录电子信息系统解决方案·················.51
1.4.1.14 案例14：船舶过闸安检船员身份核验系统·································.57
1.4.1.15 案例15：景区人票合一智能识别管理系统·································.60
1.4.1.16 案例16：DNA 档案在干细胞与再生医学领域的应用解决方案··········.63
1.4.1.17 案例17：全国社保卡服务平台生物特征识别应用·························.68
1.4.1.18 案例18：腾讯“微信刷掌”在各民生场景的应用·························.72
X
第2 章 新兴应用篇······································································.79
2.1 概述·····················································································.79
2.2 新兴应用的创新特性····························································.79
2.2.1 新兴应用之技术突破·····························································.79
2.2.2 新兴应用之场景拓展·····························································.80
2.2.3 新兴应用之隐私保护·····························································.81
2.3 发展建议··············································································.81
2.4 新兴应用案例·······································································.81
2.4.1.1 案例1：多模态防伪大模型平台···············································.81
2.4.1.2 案例2：虹膜检验鉴定实验室·················································.85
2.4.1.3 案例3：智慧档案库房管理平台···············································.95
2.4.1.4 案例4：赛鸽综合管理识别平台···············································100
2.4.1.5 案例5：海鑫智圣“鑫宠”宠物识别算法服务······························104
2.4.1.6 案例6：基于牛只识别技术的智能畜牧养殖保险系统·····················.112
2.4.1.7 案例7：高通量测序动物基因识别系统······································.116
2.4.1.8 案例8：基于行为识别技术的智能颐养系统·································120
2.4.1.9 案例9：XR 头戴式显示设备利用虹膜特征识别技术进行身份认证·······125
2.4.1.10 案例10：AR 自主视觉智能作业技术平台··································131
2.4.1.11 案例11：基于掌静脉识别技术的车门解锁系统····························136
2.4.1.12 案例12：气味数智化识别平台···············································139
2.4.1.13 案例13：生物特征识别在基因检测领域的应用解决方案·················143
2.4.1.14 案例14： 面向视障残疾人用户的分布式
生物特征识别无障碍身份鉴别应用案例·························149
第3 章 融合应用篇······································································153
3.1 概述·····················································································153
3.2 融合应用的融合特性····························································154
3.2.1 生物特征识别多模态融合应用的特点及分析······························154
3.2.2 跨界融合多模态拓展应用特点及分析········································154
3.3 发展建议··············································································155
3.4 融合应用案例·······································································156
XI
3.4.1.1 案例1：ABIS 多模态生物特征识别统一平台································156
3.4.1.2 案例2：“三合一监门智能管控”系统·······································161
3.4.1.3 案例3：多模态门禁管理系统·················································166
3.4.1.4 案例4：卡塔尔2022 年世界杯手持式多模态识别终端·····················169
3.4.1.5 案例5： 基于多模态生物特征识别的传统轻工业五金制品
智能化升级应用·······················································173
3.4.1.6 案例6：智慧餐厅消费机系统·················································178
3.4.1.7 案例7：智慧婚姻登记系统····················································181
3.4.1.8 案例8：口岸自助值机托运机器人系统·······································186
3.4.1.9 案例9：掌静脉及人脸识别技术在电动车上的应用·························190
3.4.1.10 案例10：智能车舱解决方案·················································195
3.4.1.11 案例11：营运车辆驾驶员健康监测预警系统·······························199
3.4.1.12 案例12：公共交通智能管理和安全服务平台······························202
3.4.1.13 案例13：基于智能识别技术的火电厂智能巡检管控平台·················207
3.4.1.14 案例14：矿山人员智能化综合管理平台···································.211
3.4.1.15 案例15：医院智能化综合管理系统·········································224
3.4.1.16 案例16：青竹湖校园一指通智慧校园项目·································231
3.4.1.17 案例17：企业园区智能管理系统············································236
第4 章 支撑技术应用篇······························································241
4.1 概述·····················································································241
4.2 支撑技术应用特点分析·························································241
4.2.1 多维度的安全防护技术·························································241
4.2.2 创新的算法与模型应用··························································242
4.2.3 高度适应性的场景化配置·······················································242
4.2.4 前瞻性的市场应用和扩展潜力················································242
4.3 发展建议··············································································243
4.4 支撑技术应用案例································································243
4.4.1.1 案例1：移动智能终端指纹识别芯片·········································243
4.4.1.2 案例2：用于呈现攻击检测的指纹假体制作技术····························247
4.4.1.3 案例3：人脸防欺诈检测技术及应用·········································251
4.4.1.4 案例4：海鑫端云深度伪造活体防护系统金融行业应用案例··············257
第5 章 总结与展望······································································263

为贯彻落实《“十四五”数字经济发展规划》，提升我国生物特征识别产业竞争力，
推动我国生物特征识别产业做大做强，助力经济社会发展，全国信息技术标准化技术委
员会生物特征识别分技术委员会（SAC/TC28/SC37）组织开展《生物特征识别技术应用
案例集》编撰工作。2022 年4 月，《中共中央 国务院关于加快建设全国统一大市场的意
见》明确指出：“加快制定面部识别、指静脉、虹膜等智能化识别系统的全国统一标准和
安全规范。”《生物特征识别技术应用案例集》，为未来标准的制修订及实施提供切实可
行的参考方向，进而通过标准制定与实施来推动生物特征识别产业的规范化发展。
当前，生物特征识别技术正在逐渐渗透到社会生活的方方面面，技术不断进步，应
用场景逐渐拓宽，呈现出不断创新、稳步发展、多领域突破的趋势和特点。例如，生物
特征识别模态更加丰富，如指纹识别、面部识别、虹膜识别、声纹识别、手势识别、静
脉识别、行为识别、基因识别、气味识别、签名识别等；应用目的更加广泛，如物种识
别、动物投保、健康监测、临床诊断辅助等；应用形式更加综合，如多模态识别、大模
型融合应用、增强现实融合应用等；应用的安全防护要求日益严格，呈现攻击检测技术、
深度伪造检测技术、防欺诈技术等发展日益成熟。
生物特征识别技术在推动社会经济发展过程中发挥着越来越重要的作用，具体作用
如下。
一、促进实体经济和数字经济深度融合，推动产业数字化转型
生物特征识别技术通过在汽车、两轮电动车、门禁、五金制品、轻工业，以及数据
存储设备中的应用，推动了制造业中新产品和新服务的产生，如智能家居、智能穿戴设
备等，丰富了市场供给，促进了相关产业链的发展。生物特征识别技术的跨界融合能力
支持了可持续发展，增强了我国众多企业的国际竞争力，从而在促进实体经济和数字经
济深度融合中发挥了至关重要的作用。随着技术的不断进步和应用的拓展，生物特征识
别技术将继续为经济发展和社会进步贡献力量。
二、助力缩小数字鸿沟，有助于实现社会公平正义
生物特征识别技术在残疾人、老年人等群体中得到应用，为他们提供便捷、无障碍
的数字化服务。例如，语音识别、面部识别等技术，可以帮助视力或听力受损的人士更
好地使用智能设备，享受数字化服务。此外，生物特征识别技术可以用于智慧康养领域，
对老年人异常行为进行监测并预警，为老年人提供安全保障，改善老年人的生活质量，
增强安全感。生物特征识别技术不仅有助于缩小数字鸿沟，助力人们享受到科技进步带
VIII
来的便利和福祉，还有助于实现和落实社会的公平公正与互帮互助。
三、增强信息技术服务安全性，提升公众信任度与行业认可度
在金融行业，随着人脸防欺诈检测、多模态防伪、大模型等技术的发展和进步，生
物特征识别技术在金融行业中的应用日益广泛，极大地增强了金融交易的安全性。生物
特征识别技术在交通运输业也得到普遍应用，多用于运营车辆驾驶员健康监测、公共交
通智能管理和安全服务等方面，有效保障了交通运输的安全与高效。生物特征识别技术
在采矿业和电力行业主要用于矿工考勤、矿灯柜、更衣柜、矿车等方面的权限控制，以
及安全区域的门禁、火电厂智能巡检等，提高了这些行业的工作效率和作业安全性。生
物特征识别技术在信息传输、软件和信息技术服务业中利用生物特征对文件进行加解密
或增加数字签名，为数据安全提供了强有力的保障。生物特征识别技术在这些领域的应
用，超越了单纯提供便捷身份认证服务的范畴。其在保障信息安全、生产安全、公共安
全等方面的作用日益凸显，也越发受到公众信任与行业认可。
按照生物特征识别技术的应用目的、应用形式等特点，本案例集将应用案例划分为
四个主要部分：行业应用篇、新兴应用篇、融合应用篇及支撑技术应用篇。通过汇编生
物特征识别技术应用案例，本案书集充分展现了生物特征识别技术在多个关键领域的实
际应用成效和重要影响，并希望为技术使用方、研究人员、技术开发者、标准及政策制
定者提供全面的案例参考资源，使《生物特征识别技术应用案例集》成为生物特征识别
解决方案首选的知识数据库、项目需求对接的桥梁，让生物特征识别技术持续为人类社
会带来更加美好的生活体验。

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