Browse our Products
Aspose.OCR for C++ 22.6 Release Notes (June 2022)
This article contains a summary of recent changes, enhancements and bug fixes in Aspose.OCR for C++ 22.6 (June 2022) release.
GPU version: 21.7.0
What was changed
| Key | Summary | Category |
|---|---|---|
| OCRCPP-274 | Added a new detection mode for better identification and recognition of tabular structures. | New feature |
| OCRCPP-275 OCRCPP-277 | Added a new machine learning model for image denoising:
| Enhancement |
| OCRCPP-278 | Recognition results can now be saved in JSON format. | New feature |
Public API changes and backwards compatibility
This section lists all public API changes introduced in Aspose.OCR for C++ 22.6 that may affect the code of existing applications.
Added public APIs:
The following public APIs have been introduced in this release:
detect_areas_mode_enum::TABLE
A new recognition setting that enables automatic detection of table cells.
export_format::json
A new recognition setting that forces recognition results to be returned in JSON format.
RecognitionSettings.auto_denoising
A new recognition setting for enabling or disabling automatic noise removal from recognized images.
When enabled, images are pre-processed by a specialized neural network to remove dirt, spots, scratches, glare, unwanted gradients, and other noise. It consumes additional resources and is disabled by default.
Updated public APIs:
No changes.
Removed public APIs:
No changes.
Usage examples
The example below (C++ 17) illustrates the changes introduced in this release:
#include <iostream>
#include <aspose_ocr.h>
#include <filesystem>
#include <corecrt_io.h>
#include <fcntl.h>
int main()
{
_setmode(_fileno(stdout), _O_U16TEXT);
// Current directory
std::filesystem::path path{ std::filesystem::current_path() };
// Licensing
const std::string lic = "/Aspose.Total.lic";
std::filesystem::path license = path.string() + lic;
asposeocr_set_license(license.string().c_str());
bool lic_result = asposeocr_get_state();
/** Save recognition results to JSON */
RecognitionSettings settings;
set.save_format = file_format::format_json;
asposeocr_page_save("img1.jpg;img2.jpg", "result.json", set);
/** Get recognition results in JSON format */
// Prepare buffer for result (in symbols, len_byte = len * sizeof(wchar_t))
const size_t len = 4096;
wchar_t buffer[len] = { 0 };
RecognitionSettings settings;
set.format = export_format::json;
size_t result = asposeocr_page_settings(image.c_str(), buffer, len, settings);
std::wcout << buffer;
/** Image pre-processing with noise removal */
const string image = "img.jpg";
// Prepare buffer for result (in symbols, len_byte = len * sizeof(wchar_t))
const size_t len = 4096;
wchar_t buffer[len] = { 0 };
RecognitionSettings settings;
set.auto_denoising = true;
size_t result = asposeocr_page_settings(image.c_str(), buffer, len, settings);
std::wcout << buffer;
}