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May 2021

assessQualityForOcr method

Estimates if an image quality is suitable for OCR. The whole image is represented as a set of rectangles. A type of rectangle can be either text or unknown. The quality assessment of the image for OCR is calculated based on the rectangles collection.

Note: This is a technology preview feature. The functionality will be improved and completed in future versions.

export async function assessQualityForOcr(settings)

Parameters

settings: Object specifying parameters of the image quality assessment (see Options).

Return values

The method returns result depending on how the scenario finished (see Result).

Options

The table below describes parameters that you can pass as the settings argument to change image quality assessment settings. Omitting a parameter means that a default setting will be used.

Parameter	Value type	Description
licenseFileName	string	The name of the license file. This file must be located in the /assets/ directory in your project. Default: "MobileCapture.License".
imageUri	string	Image source for the operation passed as URI. This parameter can be set to the following values: "Base64": you can pass an encode base64 image string, i.e. "data:image/jpeg;base64,<base64 encoded image data>" "File": image file address, i.e. "file:///data/user/0/com.abbyy.rtr.reactnative.sample.coreapi/files/pages/page_848b121d-5a7a-4ead-94e6-dd91bc6bfead.jpg". 'content://' schema is also supported for Android. Required parameter.
documentBoundary	object	Quadrangle containing the whole document. It is represented by an array of its four vertices' coordinates: { x: int, y: int }. The vertices are indexed clockwise starting from the bottom left. Default: coordinates of a quadrangle, containing the whole image.

Parameter

Value type

Description

licenseFileName

string

The name of the license file. This file must be located in the /assets/ directory in your project.

Default: "MobileCapture.License".

imageUri

string

Image source for the operation passed as URI. This parameter can be set to the following values:

"Base64": you can pass an encode base64 image string, i.e. "data:image/jpeg;base64,<base64 encoded image data>"
"File": image file address, i.e. "file:///data/user/0/com.abbyy.rtr.reactnative.sample.coreapi/files/pages/page_848b121d-5a7a-4ead-94e6-dd91bc6bfead.jpg".
'content://' schema is also supported for Android.

Required parameter.

documentBoundary

object

Quadrangle containing the whole document. It is represented by an array of its four vertices' coordinates: { x: int, y: int }. The vertices are indexed clockwise starting from the bottom left.

Default: coordinates of a quadrangle, containing the whole image.

Result

This section describes the object that represents image capture results. Returned parameters depend on the scenario.

Parameter	Value type	Description
qualityAssessmentForOcrBlocks	object[]	Collection of rectangles with corresponding quality assessment for each of them. Each rectangle can have the following parameters: type (string): rectangle type for quality for OCR estimating. Can be 'Text' or 'Unknown'. quality (int): for blocks with 'Text' type this parameter stores a value from 0 to 100 that indicates suitability of the text for OCR. rect (object): bounding rectangle for quadrangle. The rectangle is set by the following parameters: top (int): upper left point ordinate bottom (int): bottom left point ordinate left (int): upper left point abscissa right (int): upper right point abscissa

Parameter

Value type

Description

qualityAssessmentForOcrBlocks

object[]

Collection of rectangles with corresponding quality assessment for each of them. Each rectangle can have the following parameters:

type (string): rectangle type for quality for OCR estimating. Can be 'Text' or 'Unknown'.
quality (int): for blocks with 'Text' type this parameter stores a value from 0 to 100 that indicates suitability of the text for OCR.
rect (object): bounding rectangle for quadrangle. The rectangle is set by the following parameters:

Example of a result JSON.

3/2/2022 12:59:15 PM