Table of contents

Go to DCV Architecture

The following diagram shows how sections connect to each other to form tasks:

flowchart LR;
     A[1.Region Pre-Detection]-->C[2.1.Shared Detection]
     C---D[2.2.Barcode Localization]
     C---E[2.2.Text-line Localization]
     C---F[2.2.Document Detection]
     D---G[3.Barcode Decoding]
     E---H[3.Text-line Recognition]
     F---I[3.Document Normalization]
     style I fill:#f96,stroke:#333,stroke-width:4px

In this article, we’ll discuss the section Document Normalization which is usually the 3rd section of a “Normalize-a-Document” task.

Section 3 - Document Normalization

The purpose of this section is to generate a standard rectangular image of the “document” localized in the section “Document Detection”.

A document is an object that exhibit clear boundaries.

Constituting Stages

This section consists of just one stage:

  • Document-normalizing: to normalize the document which may involve one or several of these actions:
    • Deskew
    • Perspective correction
    • Colour conversion
    • Brightness and contrast adjustment

Output and Parameters

Stage Intermediate Result Type Related Parameter
Document-normalizing IRUT_NORMALIZED_IMAGES Brightness, Contrast, ColourMode, DeskewMode

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