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 H fill:#f96,stroke:#333,stroke-width:4px

In this article, we’ll discuss the section Text-line Recognition which is usually the 3rd section of a “Recognize-Text-Lines” task.

Section 3 - Text-line Recognition

The purpose of this section is to recognize the text from the text-line areas identified in the previous section “Text-line Localization”.

Constituting Stages

This section consists of the following stages:

  1. Cropping: to cut out the text-line areas based on text-line localization results. This results in one or multiple colour images.
  2. Grayscaling: to convert the colour image(s) to grayscale.
  3. Transforming: to transform the grayscale image(s).
  4. Text-line-recognizing: to recognize the text.

Output and Parameters

Each of these stages has its own output (known as an intermediate result) and usually a specific parameter that can regulate the operation:

Stage Intermediate Result Type Related Parameter
Grayscaling IRUT_GRAYSCALE_IMAGE ColourConversionModes
Transforming IRUT_TRANSFORMED_GRAYSCALE_IMAGE GrayscaleTransformationModes
Text-line-recognizing IRUT_RECOGNIZED_TEXT_LINES DictionaryPath

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