Development And Design Of Questionnaire Automated Statistical Analysis System Based On OCR

Currently, a large part of the input data manually statistics during the questionnaire processing. With the high development of computer technology, using computer technology to automatically identify the questionnaire statistical analysis has become an inevitable trend. Although mail sorting, bank notes analysis, statistics and other applications have the votes, there are some special OCR technology based software system, but in the questionnaire format for content is not fixed, automatic identification in certain aspects of the problem. Especially after the visual identification, the current study was not thorough enough.In this paper, the questionnaire for the study questionnaire focuses on the identification of statistical techniques, including a questionnaire layout definition and description of the model structure, identify areas of selection, visual display, user-defined description of the questionnaire file, automatically generate identification documents to identify the contents of the knowledge of statistical analysis of the final analysis, automated identification. Questionnaire for the treatment presents a survey questionnaire template constraint description file with the questionnaire information extraction methods. The image recognition process, the image of the tilt correction is its recognition of the premise, this paper presents the use of their questionnaire template customization through its special point pattern matching of image tilt correction, the deviation or error when the image, the use of questionnaires The distance between text lines in the fixed characteristics of a long line of text images of the tilt correction of the questionnaire. Platform based on XML, without limitation, hierarchical structure, scalability and other properties using XML as a bridge between.Generated through the questionnaire to query the XML content mapping to generate the required identification, the main use of its implementation process related to the concept node set, by direct mapping done by the node level to semi-structured data into relational data. Because the questionnaire identified the handwriting, and in the process of identifying handwritten characters using its cross-sectional features and characteristics of holes for character recognition. After its identification in the parallel coordinate system through the use of multidimensional data visualization, because after the questionnaire data identified a relatively high repetition rate, add random perturbations decimal for display. In the second, based on visual clustering method using the parallel coordinate system in visualization. Achieved using the above preliminary study based on questionnaire OCR recognition statistical analysis system.