Conditional generative adversarial network-based online handwriting identification method

A recognition method and conditional technology, applied in character and pattern recognition, computer components, instruments, etc., can solve the problems of model freedom and uncontrollability, difficulty in training, etc., achieve a good balance between false acceptance rate and false rejection rate, and easy collection , the effect of improving the recognition efficiency

Inactive Publication Date: 2017-06-06
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] 1) Convergence problem;
[0009] 2) Difficult to tr

Method used

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  • Conditional generative adversarial network-based online handwriting identification method
  • Conditional generative adversarial network-based online handwriting identification method
  • Conditional generative adversarial network-based online handwriting identification method

Examples

Experimental program
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Embodiment 1

[0039]The online handwriting recognition method provided in this embodiment is mainly to provide convenient and personalized door opening, and at the same time, it can avoid emergencies such as forgetting to bring the key, losing the key, and forgetting the access control password. Suppose there is a house with three bedrooms and one living room, and the roles include: parents and children. Usually, the child's bedroom and the parents' bedroom are private spaces, and the child does not want the parents to enter their room. For the living room, toilet and kitchen belong to the public area of ​​the family. Therefore, we need to set different permission levels. By entering different people's handwriting signatures for different doors, that is, entering different characters, we can identify whose handwriting is and whether it is forged signatures for others. That is to say, the signature recognition does not recognize a specific character, but relies on a certain person's writing...

Embodiment 2

[0046] The online handwriting recognition method provided in this embodiment is mainly to solve the problem that the same document needs to be signed by different users in different places, and often encounters the thorny problem that users cannot be present due to delay.

[0047] 201: a user registration module, recording the identity confirmation of the user.

[0048] 202: The receiving module accepts an arbitrary text input by the user in advance, and puts them into the confrontation network as training samples.

[0049] The method includes a) accepting a request from multiple contract users to sign a document; b) receiving the sign and number of contract users; c) generating an identifier associated with the signed document; d) sending an invitation to sign the document together with the document identifier For each contract user; e) provide each user with a signature entry; f) receive each user's signature identification, signature time stamp and face image time stamp; g)...

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Abstract

The present invention requires to protect a conditional generative adversarial network-based online handwriting identification method. The method comprises the steps of 101 using a user registration module to register the basic information of a user; 102 using a reception module to receive a section of character information inputted by the user, wherein the information comprises the character writing style, the character writing strength and the character writing spacing; 103 training a conditional generative adversarial network on a handwriting signature data set by taking the category labels as the conditions, and being able to generate the corresponding directional digital features according to the information of the category labels; 104 using a handwriting identification module, using the conditional generative adversarial network to mine the personalized handwriting of the user and using an adversarial network signature discrimination model D which is a dichotomy device to discriminate whether the inputted data is the real handwriting data or a generated sample; 105 using an application module to apply the handwriting identification to an access control system and a plurality of user document signing scenes. The conditional generative adversarial network-based online handwriting identification method of the present invention has higher stability, safety and convenience, at the same time, can identify the handwriting style, strength and spacing information of the users by combining a conditional generative adversarial network method, and avoids the problem that the character features are not extracted completely.

Description

technical field [0001] The invention relates to the fields of image processing, pattern recognition and the like, and relates to an online handwriting recognition method based on a conditional generative confrontation network. Background technique [0002] At present, with the rapid development of the Internet of Things in China, there are threats of insecurity in the access control system, document signature, payment, and credit card payment. Aiming at the problems of poor recognition accuracy, easy imitation, and easy forgery in existing biometric authentication technologies, a method based on conditional generation is proposed. An Online Handwriting Recognition Approach to Adversarial Networks. This method aims to research and develop the security issues involved in access control systems and document signatures, and aims to design a security authentication method that facilitates the identification of personal identity information through handwriting features on terminal...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06F21/32
CPCG06F21/32G06V40/33G06F18/24
Inventor 王进陈知良颉小凤李颖欧阳卫华高选人陈乔松李航余薇邓欣
Owner CHONGQING UNIV OF POSTS & TELECOMM
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