Contact: Liu: 13910860481 Chow: 13911896172 Wentong THOCR document recognition software to identify two-dimensional bar code Product Specifications: High recognition rate: words printed character recognition rate more than 98%; high adaptability: to The actual text of the average recognition rate of 95%; in a unified platform, which can identify the (Simplified and Traditional) text recognition, Japanese recognition, recognition Korean, Mongolian recognition, recognition Tibetan Balakrishnan identification (Uyghur recognition) Kazakh recognition, text recognition Kirghiz, Arabic recognition in nine languages ??dozens of languages, and supports with the English words of shuffling. System Products by a specialized company in Mongolian, Tibetan, Victoria / ha / application Ke and other ethnic areas, with national and international competition surrounding radiation capability; Wen Tong technology to TH-OCR and handwriting recognition technology as the core, developed a number of products and offers a variety of industry solutions, relying on a sound service system, broadening the product technology applications. Currently, Wen Technologies already has a cross-platform (including Windows / Linux / Android / IOS and embedded platforms), intelligent image processing, Asian text OCR, handwriting recognition, a two-dimensional bar code recognition technology of its own intellectual property rights. Depth to the financial and insurance business, intelligent transportation, taxes - the government and other industries - Service, public - co - Security - full - and policies. Geometric feature extraction method to extract the text of some geometric features, such as text segment endpoint, bifurcation point, concave and convex portions and a horizontal, vertical, diagonal and other directions, closed loop, etc., depending on the location and the relationship of these features are logically combined judgment obtained recognition results. This means of identification due to the use of structural information also applies to the handwritten text as larger variant text.