Empirical Research On Handwriting Identification Of Electromagnetic Electronic Signatures

Under the circumstances that electronic signature handwriting identification is widely discussed,the application of electronic signature handwriting dynamic data has begun to be widely recognized and researched.Using electronic signature handwriting dynamic data to assist identification has become an effective method to solve the problem of electronic signature handwriting identification,especially The identification of imitation signature handwriting is more effective.Electronic signature devices with electronic signature dynamic data collection functions are currently mainly electromagnetic electronic signature boards based on electromagnetic induction technology,which can form X / Y coordinates,pressure,etc of signature trajectories while forming electronic signature form handwriting.The data information enables the dynamic characteristics of the writer's signature to be saved.However,in the current application of electromagnetic electronic signature boards,due to the irregular and imperfect collection and storage of dynamic data of electronic signatures used by units,institutions,or individuals,the application of dynamic data of electronic signature handwriting is still lacking in authentication practice.Under this circumstance,whether the identification of handwriting electromagnetic electronic signature handwriting using the dynamic data of the electronic signature is feasible,and the magnitude of the feasibility need to be analyzed and studied to provide a reference basis for the identification of handwriting electromagnetic electronic signature handwriting.When analyzing the electromagnetic signature electronic handwriting of nests,it is mainly applied experimental methods.The traditional handwritten paper pen signature is used as a copy,and a new and simple method of directly describing the formation of nest electronic signatures is used to collect the images of the electromagnetic signature electronic handwriting separately Materials and dynamic data.The traditional morphological inspection method was used to compare and analyze the image materials of the signatures to determine the morphological characteristics and characteristic reflection rules of covered copy electromagnetic electronic signatures.The data calculation and analysis of the dynamic data and the image analysis of the writing pressure data respectively reflect the writing time characteristics of the experimental specimens and the changes of the writing pressure characteristics,which are the basis for the analysis of the set of electromagnetic electronic signature handwriting.According to the traditional morphological inspection method and dynamic data analysis method,it is found that,due to the simple and effective maneuver method,the formed electronic signature handwriting has a high degree of consistency with the characteristics of the transcript and sample electronic signature handwrit ing,especially for simple handwriting strokes.The signature handwriting with fewer consecutive strokes is more consistent in morphological characteristics.Complex sets of strokes with more consecutive strokes and fewer parts of the signature writing will have the characteristics of broken strokes,missing strokes,and jerky strokes.However,these fewer differences are easily avoided by the writing practice of the writer.Generates arrogant handwriting with high feature consistency.In terms of dynamic data analysis,it was found that the writing time of the set of electronic signature handwriting will increase compared with the writing time of the sample electronic signature handwriting because of the different writing habits of the writer and the fluctuating movement of the sample.The increase in writing time is more significant than that of boys.In terms of changes in writing pressure,the characteristics of the pressure changes in the collected experimental specimens are significantly different from those in the sample electronic signature handwriting,that is,there is a significant difference between the rhythm of the specimen handwriting and the rhythm of the sample electronic signature handwriting.Therefore,the set of electronic signature handwriting and the sample electronic signature handwriting have a high degree of conformity in terms of morphological characteristics.There are no obvious and valuable differences,but there are essential differences in writing habits in terms of dynamic data characteristics.For the identification of the sleeve-type electromagnetic electronic signature handwriting with dynamic data,the identification of the dynamic characteristics of the electronic signature can accurately determine the difference between the test material and the sample writing habits based on the analysis of the dynamic number,and whether the writer is the same Identified.However,in the case of lack of dynamic data for identification based on traditional morphological inspection methods only,the identification of specimens becomes more difficult due to the high similarity of the morphological characteristics of the specimens,and incorrect identification opinions appear.Therefore,when the dynamic data of electronic signatures is difficult to collect,the traditional form inspection method for arbitrage electromagnetic electronic signature handwriting identification needs to improve the requirements for sample collection.The image material samples,dynamic data of electronic signatures and traditional handwritten signature handwriting are used together For reference,and establish or supplement industry specifications and requirements for electronic signature handwriting identification to meet the current solution of electronic signature handwriting identification problems.