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169 results about "String generation" patented technology

In computer science, string generation is the process of creating a set of strings from a collection of rules. This is an opposite process to that of parsing, which recognises a string based on some collection of rules.

Software authorization system based on public key cryptosystem

The invention discloses a software authorization system based on public key cryptosystem. The software authorization system comprises a server end and a client end, wherein the server end comprises an institution authorization certification generation module, a receiving module, a verification module and a user authorization certificate generation module. The user authorization certificate generation module comprises a digital signing module used for carrying out digital signing on computer hardware characteristics h0 in a user registration file with an RSA private key to generate S0, an encryption string generation module used for carrying out preset hybrid operations on obtained software version information v, user information u, an authorization term ex, current time cur and s0 to generate an encryption string signB64 and a certificate generation module used for generating a user authorization certificate with the encryption string signB64 and the RSA public key. The method can prevent software from being illegally copied, meanwhile, the software can be managed by a software issuer in a concentrated mode, and upgrading and tracking of the software, pushing personalized services for users and other after-sale management are facilitated.
Owner:HUAZHONG NORMAL UNIV

Fast document type recognition method based on full-sized feature extraction

The invention provides a fast document type recognition method based on full-sized feature extraction. The method comprises the following steps of document image preprocessing, including image zooming, graying and noise filtering; document image feature extraction, including Hessian matrix building, scale space generation, primary determination of feature points, precise positioning of the feature points, main direction determination of selected feature points, feature point descriptor construction and feature value string generation; document image feature value comparison, including document similarity calculation and comparison algorithm optimization. According to the method, an image is preprocessed through software, and additional hardware equipment does not need to be added. According to the method, the scale-invariant feature is creatively introduced for improving a typical SURF feature extraction algorithm, so that the problem of matching failure due to error amplification of the SURF algorithm caused by scale variations is fundamentally solved. The method has the advantage that a multi-thread technology and a large cache are used for solving the problems of large data volume calculation during comparison and the harsh time requirement of a user on an electronic government affair platform.
Owner:FOSHAN UNIVERSITY
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