WO2014169835A1 - Procédé et système d'authentification d'écriture manuscrite en ligne basés sur des informations de doigt - Google Patents

Procédé et système d'authentification d'écriture manuscrite en ligne basés sur des informations de doigt Download PDF

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Publication number
WO2014169835A1
WO2014169835A1 PCT/CN2014/075599 CN2014075599W WO2014169835A1 WO 2014169835 A1 WO2014169835 A1 WO 2014169835A1 CN 2014075599 W CN2014075599 W CN 2014075599W WO 2014169835 A1 WO2014169835 A1 WO 2014169835A1
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WO
WIPO (PCT)
Prior art keywords
information
finger
handwriting
user
handwritten
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Application number
PCT/CN2014/075599
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English (en)
Chinese (zh)
Inventor
邹杰
曾蓓蓓
谭传奇
Original Assignee
武汉汉德瑞庭科技有限公司
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Application filed by 武汉汉德瑞庭科技有限公司 filed Critical 武汉汉德瑞庭科技有限公司
Publication of WO2014169835A1 publication Critical patent/WO2014169835A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/196—Recognition using electronic means using sequential comparisons of the image signals with a plurality of references
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/32—Digital ink
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan

Definitions

  • a display module configured to display information collected by the signal acquisition module.
  • the registration phase a plurality of handwritten feature information of the user are extracted, the handwritten handwriting information set is separated from the plurality of handwritten feature information, and the first authenticator is trained, and the finger static information set in which the writing finger is in contact with the writing plane is trained to obtain the second authentication. Device. Finally, store the two authenticator parameters in the database.
  • the authentication procedure v B1 is obtained based on R B1 training.
  • the registration process of the traditional online handwriting authentication method includes data acquisition, preprocessing, feature extraction, authenticator training, data storage database, and specifically, according to several registered handwritten feature information submitted by the user.
  • the sample separates the registered handwritten handwriting sample set, and the computer system preprocesses each sample in the handwritten handwriting sample set to remove noise interference, and obtains a representative writing style and a high discriminative force characteristic by feature extraction and feature selection algorithms.
  • step S302 isolated from the test handwriting characteristic information Î ⁇ out the time series of the following two: 1) the finger associated with the handwriting information in time series ⁇ ⁇ 1; 2) finger and the finger static information writing surface of the contact time sequence ⁇ ⁇ 2.
  • the separation method is the same as step S203, and details are not described herein again.
  • Step S401 Start: Specifically, it indicates that the registration process using the traditional online handwriting authentication method is started to perform a registration operation process on a set of registered handwritings submitted by the user.
  • Step S403 Preprocessing: Specifically, due to factors such as the accuracy of the handwriting input device, the writing environment, and the like, noise is generated in the acquired registered handwritten handwriting samples, and the preprocessing step resamples, filters, and normalizes the registered handwriting samples. Remove noise interference to improve authentication accuracy.
  • Step S404 Feature extraction: Specifically, the feature extraction algorithm is used to obtain various handwriting features representing the user's writing style, and the feature selection algorithm is used to select features with higher discriminative power from the handwriting features to form corresponding optimal feature subsets. The feature value data corresponding to the optimal feature subset of the plurality of registered handwriting samples of the registered handwriting is obtained according to the optimal feature subset.
  • Step S407 End: Specifically, it indicates that the registration process using the traditional online handwriting authentication method completes the registration operation process for the user to submit the registered handwriting.
  • Step S505 Outputting the authentication result: Specifically, when the feature extraction of the test handwriting is completed, the handwritten handwriting authenticator corresponding to the user identification number in the database is used to output the authentication result of the test handwriting feature value data.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Collating Specific Patterns (AREA)

Abstract

L'invention concerne un procédé et un système d'authentification d'écriture manuscrite en ligne basés sur des informations de doigt, le procédé consistant à : enregistrer les informations de caractéristique d'écriture manuscrite d'un utilisateur ; extraire les informations de caractéristique d'écriture manuscrite d'un utilisateur à tester et authentifier les informations de caractéristique d'écriture manuscrite extraites ; si les informations de caractéristique d'écriture manuscrite extraites de l'utilisateur à tester correspondent aux informations de caractéristique d'écriture manuscrite enregistrées, alors l'utilisateur réussit l'authentification ; et si tel n'est pas le cas, alors l'utilisateur échoue à l'authentification ; et les informations de caractéristique d'écriture manuscrite comprennent les deux types suivants d'informations de caractéristique obtenues simultanément : les informations d'écriture manuscrite incluses dans un processus d'écriture, et les informations de doigt statique d'un doigt touchant un plan d'écriture. La présente invention conduit une fusion de multiples caractéristiques et une authentification sur les informations d'écriture manuscrite et les informations de doigt statique d'un doigt touchant un plan d'écriture, à la fois séparées et calculées à partir des informations de caractéristique d'écriture manuscrite obtenues simultanément, permettant ainsi d'éviter le problème de sécurité provoqué par une authentification basée sur une collection de caractéristiques mutuellement indépendantes dans l'état antérieur de la technique, et d'améliorer la sécurité globale d'un système d'authentification.
PCT/CN2014/075599 2013-04-18 2014-04-17 Procédé et système d'authentification d'écriture manuscrite en ligne basés sur des informations de doigt WO2014169835A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201310136533.8A CN103258157B (zh) 2013-04-18 2013-04-18 一种基于手指信息的在线笔迹认证方法及系统
CN201310136533.8 2013-04-18

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WO2014169835A1 true WO2014169835A1 (fr) 2014-10-23

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CN (1) CN103258157B (fr)
WO (1) WO2014169835A1 (fr)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018040009A1 (fr) * 2016-08-31 2018-03-08 华为技术有限公司 Procédé, terminal, stylet d'écriture et système de vérification de signature
US10282627B2 (en) 2015-01-19 2019-05-07 Alibaba Group Holding Limited Method and apparatus for processing handwriting data
CN111310545A (zh) * 2019-12-04 2020-06-19 武汉工商学院 在线笔迹认证中一种笔迹模仿复杂度的度量方法
CN113610064A (zh) * 2021-10-09 2021-11-05 北京世纪好未来教育科技有限公司 笔迹识别方法和装置

Families Citing this family (8)

* Cited by examiner, † Cited by third party
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CN103258157B (zh) * 2013-04-18 2016-09-07 武汉汉德瑞庭科技有限公司 一种基于手指信息的在线笔迹认证方法及系统
CN103440447A (zh) * 2013-09-04 2013-12-11 武汉汉德瑞庭科技有限公司 具有攻击者身份识别能力的在线笔迹身份认证方法
US9235748B2 (en) * 2013-11-14 2016-01-12 Wacom Co., Ltd. Dynamic handwriting verification and handwriting-based user authentication
CN106529255B (zh) * 2016-11-14 2019-07-02 北京爱知之星科技股份有限公司 基于笔迹指纹的用户身份识别方法和装置
CN108470155A (zh) * 2018-03-06 2018-08-31 中国船舶重工集团公司第七二四研究所 一种雷达辐射源个体识别的大规模流式数据处理方法
CN108898089A (zh) * 2018-06-25 2018-11-27 联想(北京)有限公司 一种特征识别方法和电子设备
CN111310543B (zh) * 2019-12-04 2023-05-30 湖北工业大学 在线笔迹认证中笔画提连笔特征的提取及认证方法
CN117111826B (zh) * 2023-10-23 2024-01-02 深圳市华南英才科技有限公司 一种基于笔迹特征的电容笔屏交互控制方法及系统

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CN1794266A (zh) * 2005-12-31 2006-06-28 清华大学 生物特征融合的身份识别和认证方法
CN101556636A (zh) * 2009-03-06 2009-10-14 上海凌锐信息技术有限公司 人体电容和笔迹识别相结合的生物识别装置及其实现方法
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10282627B2 (en) 2015-01-19 2019-05-07 Alibaba Group Holding Limited Method and apparatus for processing handwriting data
WO2018040009A1 (fr) * 2016-08-31 2018-03-08 华为技术有限公司 Procédé, terminal, stylet d'écriture et système de vérification de signature
CN108139856A (zh) * 2016-08-31 2018-06-08 华为技术有限公司 签名认证方法、终端、手写笔及系统
CN108139856B (zh) * 2016-08-31 2020-07-07 华为技术有限公司 签名认证方法、终端、手写笔及系统
CN111310545A (zh) * 2019-12-04 2020-06-19 武汉工商学院 在线笔迹认证中一种笔迹模仿复杂度的度量方法
CN113610064A (zh) * 2021-10-09 2021-11-05 北京世纪好未来教育科技有限公司 笔迹识别方法和装置

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CN103258157B (zh) 2016-09-07
CN103258157A (zh) 2013-08-21

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