公开(公告)号：WO2022023988A1

公开(公告)日：2022-02-03

申请号：PCT/IB2021/056838

申请日：2021-07-28

Applicant: WAY2VAT LTD.

Inventor： SIMANTOV, Amos ,  SHILKROT, Roy ,  GAL, Rinon ,  ARDAZI, Shai

IPC: G06F17/10 ,  G06F17/40 ,  G06F40/10 ,  G06F40/279 ,  G06K9/20 ,  G06N3/02

Abstract: Systems and methods for matching document images to tabulated records. Essential features are extracted from document images and converted into a set of document-image vectors. Spreadsheet data is converting a set of sheet-line vectors. A differential parametric algorithm is applied to determine a similarity score metric which is used in a matching algorithm. The matching algorithm is applied to the set of document images and the spreadsheet data.

公开(公告)号：WO2020254924A1

公开(公告)日：2020-12-24

申请号：PCT/IB2020/055478

申请日：2020-06-11

Applicant: WAY2VAT LTD.

Inventor： GAL, Rinon ,  SHILKROT, Roy ,  SIMANTOV, Amos

IPC: G06K15/00 ,  G06K9/18

Abstract: Systems and methods for processing documents based on a cardinal graph convolution network by generating cardinal graph representations representing words as single nodes with edges connected between neighbouring nodes in four cardinal directions. Features tensors are generated for nodes of the cardinal graph representation and the cardinal directions are encoded to generate an adjacency tensor having node neighbour indices. Entries of the adjacency tensor are transformed into a one-hot encoding of the node neighbour indices. Neighbourhood feature tensors are created over node indices and the features in each block may be scaled, convolved and reduced into new feature tensors.

公开(公告)号：WO2019092672A2

公开(公告)日：2019-05-16

申请号：PCT/IB2018/058891

申请日：2018-11-13

Applicant: WAY2VAT LTD.

Inventor： SIMANTOV, Amos ,  SHILKROT, Roy ,  MORAG, Nimrod ,  GAL, Rinon

Abstract: Systems and methods for automatic information retrieval from imaged documents. Deep network architectures retrieve information from imaged documents using a neuronal visual-linguistic mechanism including a geometrically trained neuronal network. An expense management platform uses the neuronal visual-linguistic mechanism to determine geometric-semantic information of the imaged document.

公开(公告)号：WO2017060850A1

公开(公告)日：2017-04-13

申请号：PCT/IB2016/055992

申请日：2016-10-06

Applicant: WAY2VAT LTD.

Inventor： SIMANTOV, Amos ,  SHILKROT, Roy ,  YAAR, Arnon

IPC: G06Q30/04 ,  G06F15/18 ,  G06F17/30

CPC classification number: G06Q30/04 ,  G06F15/18 ,  G06F17/30 ,  G06K9/00456

Abstract: The disclosure herein relates to business content analysis. In particular, the disclosure relates to systems and methods of an expense management system operable to perform automatic business documents' content analysis for generating business reports associated with automated value added tax (VAT) reclaim, Travel and Expenses (T&E) management, Import / Export management and the like. The system is further operable to provide various organizational expense management aspects for the corporate finance department and the business traveler based upon stored data. Additionally, the system is configured to use a content recognition engine, configured as an enhanced OCR mechanism used for extracting tagged text from invoice images and also provides continuous learning mechanism in a structured mode allowing classification of invoice images by type, providing continual process of improvement and betterment throughout.

Abstract translation: 本文的披露涉及业务内容分析。 特别地，本公开涉及费用管理系统的系统和方法，其可操作以执行自动商业文档的内容分析，用于生成与自动增值税（VAT）回收，旅行和费用（T＆E）管理，进出口 管理等。 该系统还可操作以基于存储的数据为公司财务部门和商务旅行者提供各种组织费用管理方面。 此外，该系统被配置为使用内容识别引擎，其被配置为用于从发票图像中提取标记的文本的增强型OCR机制，并且还提供结构化模式中的连续学习机制，允许按类型分类发票图像，从而提供持续的改进过程 并改善。