【摘要】：隨著科研技術(shù)的快速發(fā)展,企業(yè)測量、測試能力不斷提高,對產(chǎn)品的測試任務(wù)也不斷增多,產(chǎn)生了大量的試驗(yàn)數(shù)據(jù)。近年來企業(yè)嘗試采用建立數(shù)據(jù)管理系統(tǒng)完成對試驗(yàn)數(shù)據(jù)的采集和管理,但已完成的試驗(yàn)數(shù)據(jù)仍存儲(chǔ)在紙質(zhì)表格中,需要大量人力勞動(dòng)將數(shù)據(jù)錄入管理系統(tǒng)中。為了減少人力投入,更有效的提高工作效率,本課題研究了表格內(nèi)容識(shí)別技術(shù),設(shè)計(jì)了一種針對多種樣式表格進(jìn)行內(nèi)容提取的算法;完成了基于圖像的試驗(yàn)數(shù)據(jù)識(shí)別軟件的設(shè)計(jì),實(shí)現(xiàn)了試驗(yàn)數(shù)據(jù)的快速定位和準(zhǔn)確識(shí)別;將試驗(yàn)數(shù)據(jù)識(shí)別軟件作為試驗(yàn)數(shù)據(jù)采集終端,搭建了試驗(yàn)數(shù)據(jù)管理系統(tǒng),對企業(yè)的流程管理與數(shù)據(jù)管理等方面做了研究。本文的主要工作如下:(1)研究了表格內(nèi)容識(shí)別技術(shù)。表格內(nèi)容識(shí)別需要排除橫向、縱向表格線對于文本內(nèi)容的干擾,實(shí)現(xiàn)字線分離,再通過定位單元格,提取其中內(nèi)容并完成文字識(shí)別。(2)基于表格內(nèi)容識(shí)別算法設(shè)計(jì)了一整套試驗(yàn)數(shù)據(jù)自動(dòng)識(shí)別軟件。對掃描得到的表格圖片完成預(yù)處理,提高圖像質(zhì)量,完成版面分析,突出有用信息;提取出表格框線,定位所有單元格區(qū)域,切割出文字內(nèi)容,完成字符識(shí)別;訓(xùn)練手寫數(shù)字庫,進(jìn)一步提高手寫字體的識(shí)別效率;人工后向糾錯(cuò),完全修正識(shí)別結(jié)果。經(jīng)過多次測試,該軟件的自動(dòng)識(shí)別正確率在90%以上,經(jīng)過少量人工干預(yù),完全能夠滿足企業(yè)級(jí)應(yīng)用要求,有效的解決了自動(dòng)錄入的難題。(3)在PC終端搭建了實(shí)驗(yàn)數(shù)據(jù)管理系統(tǒng),完成了安全性維護(hù)管理、試驗(yàn)任務(wù)管理、試驗(yàn)流程管理和數(shù)據(jù)庫管理四個(gè)模塊的設(shè)計(jì)與實(shí)現(xiàn)。研究了系統(tǒng)的體系架構(gòu)和基于SOA的中間件技術(shù),合理規(guī)劃了試驗(yàn)管理流程,搭建了數(shù)據(jù)庫模型,提高了管理試驗(yàn)數(shù)據(jù)的效率。
[Abstract]:With the rapid development of scientific research technology, the measurement and testing ability of enterprises is improving, and the testing tasks of products are also increasing, resulting in a large number of test data. In recent years, enterprises have tried to use the establishment of data management system to complete the collection and management of test data, but the completed test data are still stored in paper forms, which requires a lot of manpower to input the data into the management system. In order to reduce the manpower investment and improve the work efficiency more effectively, this paper studies the table content recognition technology, and designs a content extraction algorithm for a variety of style tables. The design of the test data recognition software based on image is completed, and the fast positioning and accurate recognition of the test data are realized. The test data recognition software is used as the test data acquisition terminal, and the test data management system is built, and the process management and data management of the enterprise are studied. The main work of this paper is as follows: (1) the technology of table content recognition is studied. Table content recognition needs to eliminate the interference of horizontal and longitudinal table lines to text content, realize the separation of word lines, and then through the positioning cell, Extract the content and complete the text recognition. (2) based on the table content recognition algorithm, a set of experimental data automatic recognition software is designed. The scanned table images are preprocessed, the image quality is improved, the layout analysis is completed, and the useful information is highlighted. The table frame lines are extracted, all the cell areas are located, the text content is cut out, and the character recognition is completed. The handwritten digital library is trained to further improve the recognition efficiency of handwritten fonts, and the manual backward error correction is carried out to completely correct the recognition results. After many tests, the automatic recognition accuracy of the software is more than 90%. After a small amount of manual intervention, the software can fully meet the requirements of enterprise applications. The problem of automatic input is solved effectively. (3) the experimental data management system is built in PC terminal, and the design and implementation of four modules: security maintenance management, test task management, test flow management and database management are completed. The system architecture and middleware technology based on SOA are studied, the test management flow is planned reasonably, the database model is built, and the efficiency of managing test data is improved.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP391.41;TP315

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本文編號(hào)：2483248