Browse our Products

Aspose.OCR for CPP 20.11 Release Notes

This page contains release notes for Aspose.OCR for C++ 20.11.

GPU version: 20.11.0

All Features

Key	Summary	Category
OCRCPP-151	Extend API with next feature: support the recognition of the multiple images	Enhancement

Enhancements

Added ability to recognize a batch of images (in zip archive or in a folder). Pass archive name or folder name as a parameter and get an array of results from each page)

Public API and Backwards Incompatible Changes

New API

Function	Description
size_t asposeocr_pages_multi( size_t asposeocr_pages_multi( const char* path_to_recognize, wchar_t* result, size_t buffer_size, RecognitionSettings settings);	Optical character recognition image from file with next options: automatic text areas detection, customer text areas detection or recognize the image as one area, automatic detecting and correction skew of the text or without correction skew. Parameters: path - path to the zip archive (include extension) or path to the folder result - pointer to buffer with recognized strings in text or JSON format. buffer_size - the size of buffer reserved for the result. RecognitionSettings settings - allow to set: - all_image (true/false) - turning on means recognizing the image as a single area - correct_skew - detects orientation and auto-rotate image if needed - alphabet - set of allowed characters in the alphabet (symbols for recognition). L"" by default (all alphabet allowed) - format - export_format. Allowed options - text or JSON. In JSON format for rectangles, you will get the extended result with areas coordinates and text in these areas - rectangles - an array of rect structure to set areas for recognition - rectangles_size - the size of rectangles array new options: - the ability to pass folder or zip archive and get the result from all images Return size of result string in wchar_t symbols in text or json format.

Function

Description

size_t asposeocr_pages_multi(
size_t asposeocr_pages_multi(
const char* path_to_recognize,
wchar_t* result,
size_t buffer_size,
RecognitionSettings settings);

Optical character recognition image from file with next options: automatic text areas detection, customer text areas detection or recognize the image as one area, automatic detecting and correction skew of the text or without correction skew.

Parameters:

path - path to the zip archive (include extension) or path to the folder
result - pointer to buffer with recognized strings in text or JSON format.
buffer_size - the size of buffer reserved for the result.

RecognitionSettings settings - allow to set:
- all_image (true/false) - turning on means recognizing the image as a single area
- correct_skew - detects orientation and auto-rotate image if needed
- alphabet - set of allowed characters in the alphabet (symbols for recognition). L"" by default (all alphabet allowed)
- format - export_format. Allowed options - text or JSON. In JSON format for rectangles, you will get the extended result with areas coordinates and text in these areas
- rectangles - an array of rect structure to set areas for recognition
- rectangles_size - the size of rectangles array

new options:
- the ability to pass folder or zip archive and get the result from all images

Return size of result string in wchar_t symbols in text or json format.

Removed APIs

No Changes

Example (C++17 since filesystem)

#include <iostream>
#include <aspose_ocr.h>
#include <filesystem>
#include <corecrt_io.h>
#include <fcntl.h>
int main()
{
_setmode(_fileno(stdout), _O_U16TEXT);
//Current directory const
std::filesystem::path path{ std::filesystem::current_path() };
/* asposeocr_set_license */
const std::string lic = "/Aspose.Total.lic";
std::filesystem::path license = path.string() + lic;
asposeocr_set_license(license.string().c_str());
/* asposeocr_set_license */
bool lic_result = asposeocr_get_state();
//Recognize image
std::filesystem::path image = path.string() + "/p.png";
// Prepare buffer for result (in symbols, len_byte = len * sizeof(wchar_t))
const size_t len = 4096; 
wchar_t buffer[len] = { 0 };
/* asposeocr_page_all */
size_t res_len = asposeocr_page_all(image.string().c_str(), buffer, len, true);
//Print result
std::wcout << buffer << L"\n";
/* asposeocr_page_abc_all */
res_len = asposeocr_page_abc_all(image.string().c_str(), buffer, len, 
L" !\",#$%&()*+,-./0123456789:;<=>?@[\\]_`{|}" "~ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz", false);
std::wcout << buffer << L"\n";
 
/* asposeocr_page_from_uri*/

const char* uri = "https://www.castlegateit.co.uk/wp-content/uploads/2016/09/justified_text.png";
rect rectangles[3] = { {90, 186, 775, 95} , { 928, 606, 790, 160 }, { 934, 370, 720, 54 } };

RecognitionSettings settings;
   settings.all_image = true;
   settings.correct_skew = false;
   settings.alphabet = L"";
   settings.format = export_format::json;
   settings.rectangles = rectangles;
   settings.rectangles_size = 3;
   settings.skew = 0.2;
   settings.language_alphabet = language::en;

res_len = asposeocr_page_from_uri(uri, buffer, len, settings);
std::wcout << buffer;
/* asposeocr_page_settings*/

rect rectangles_img[2] = { {90, 186, 775, 95} , { 928, 606, 790, 160 }};

RecognitionSettings settings_img;
   settings_img.all_image = false; // default
   settings_img.correct_skew = true; // default
   settings_img.alphabet = L"1234567890";
   settings_img.format = export_format::text;
   settings_img.rectangles = rectangles;
   settings_img.rectangles_size = 2;
   settings_img.skew = 5;
   settings_img.language_alphabet = language::en; // none, en, de, pt, es, fr, it

res_len = asposeocr_page_settings(image.string().c_str(), buffer, len, settings);
std::wcout << buffer;
/* asposeocr_pages_multi*/

RecognitionSettings settings_img;
   settings_img.all_image = false; // default
   settings_img.language_alphabet = language::en; // none, en, de, pt, es, fr, it
const string image = "D:\\Img.zip";
// const string image = "D:\\ImgInFolder";

res_len = asposeocr_page_settings(image.c_str(), buffer, len, settings);
std::wcout << buffer;
}