C/C++ OCR Library Dev Guide¶

Asprise OCR for C/C++ Installation¶

There are two steps:

Download the header file: asprise_ocr_api.h
Download the library file:

Windows: 32-bit DLL | 64-bit DLL
Linux: 32-bit SO | 64-bit SO
Mac OS X: DYLIB

Save the library file into a folder, we’ll refer to this folder as LIB_FOLDER.

Jump Start¶

Note: If you’d like to try out the OCR engine without programming, we offer ready-to-use demo UI application for Java, C#, and Python.

The following code demonstrates the basic usage of Asprise OCR:

#include <iostream>
#include "asprise_ocr_api.h"

using namespace std;

void testOcr() {
   // CHANGE TO THE ACTUAL PATH to the folder where the aocr.dll or aocr.so locates in
   const char * libFolder = "LIB_FOLDER";

   // CHANGE TO THE ACTUAL PATH to the input image, can be jpeg, gif, png, tiff or pdf.
   const char * fileImg = "PATH/image.png";

   LIBRARY_HANDLE libHandle = dynamic_load_aocr_library(libFolder);

   // one time setup
   int setup = c_com_asprise_ocr_setup(false);
   if (setup != 1) {
      cerr << "Failed to setup. code: " << setup << endl;
      return;
   }

   // starts the ocr engine; the pointer must be of long long type
   long long ptrToApi = c_com_asprise_ocr_start("eng", OCR_SPEED_FAST, NULL, NULL, NULL);
   if (ptrToApi == 0) {
      cerr << "Failed to start." << endl;
      return;
   }

   char * s = c_com_asprise_ocr_recognize(ptrToApi, fileImg, -1, -1, -1, -1, -1,
      OCR_RECOGNIZE_TYPE_ALL, OCR_OUTPUT_FORMAT_PDF,
      "PROP_PDF_OUTPUT_FILE=result.pdf|PROP_PDF_OUTPUT_TEXT_VISIBLE=true|\
      PROP_PDF_OUTPUT_RETURN_TEXT=text", "|", "=");

   cout << "Returned: " << s << endl;

   // do more recognition here ...

   // finally, stops the OCR engine.
   c_com_asprise_ocr_stop(ptrToApi);

   cout << "Unload: " << (dynamic_unload_aocr_library(libHandle) ? "OK" : "Failed") << endl;
}

int main() { // Entry point
   testOcr();
   std::cout << "Press ENTER to exit: ";
   std::cin.ignore();
   return 0;
}

Line 2: Imports the OCR functions and constants.

c_com_asprise_ocr_start creates a new OCR engine that recognizes English in fastest speed setting; The evaluation version is able to recognize English (eng), Spanish (spa), Portuguese (por), German (deu) and French (fra). For other languages, please contact us. The list of languages supported can be found Languages Supported.

c_com_asprise_ocr_recognize performs OCR on the given input image. In above code, it recognizes all the characters and barcodes from the image and output to a PDF file. Additionally, plain text format of the recognition result is returned. Asprise OCR supported the following output formats: plain text (Ocr.OUTPUT_FORMAT_PLAIN_TEXT), XML (Ocr.OUTPUT_FORMAT_XML), searchable PDF (Ocr.OUTPUT_FORMAT_PDF) and user editable RTF (Ocr.OUTPUT_FORMAT_RTF).

Input and Output¶

Asprise OCR supports the following image formats: GIF, PNG, JPEG, TIFF and PDF.

For the sample OCR code in above section, if the input looks like below:

[Download the actual input image here]

The OCR output will be:

Plain-text Format¶

Asprise OCR and Barcode Recognition

High performance, royalty-free OCR and barcode recognition on Windows,
...
ISBN-l3, Interleaved 2 of 5, Code 39, Code 128, PDF417, and QR Code.

[[QR-Code: www.asprise.com]]
[[CODE-128: Asprise]].

The last two lines represents bar code information extract. Note both the format and content of the barcode are enclosed in ‘[[ ]]’ pairs.

XML Format¶

Asprise OCR XML output contains rich information like text coordinates, fonts, confidence level, barcode type, barcode locations, as well as table information (cells with location and row/column info).

Set the output format to OUTPUT_FORMAT_XML, and the you’ll get:

<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="aocr.xsl"?>
<asprise-ocr input="test-image.png">
  <page no="0" width="2400" height="3200" words="126" confidence="92" time-taken="1.928">
    <block id="1e" type="text" subtype="line" x="320" y="248" width="1176" height="63" words="5" confidence="93" font-name="Times_New_Roman" font-size="66" font-bold="0" font-italic="0" font-serif="1" baseline="297" xheight="34" ascent="15" descent="-15">Asprise OCR and Barcode Recognition</block>
    <block id="1f" type="text" subtype="line" x="320" y="360" width="1725" height="43" words="13" confidence="92" font-name="Times_New_Roman" font-size="45" font-bold="0" font-italic="0" font-serif="1" baseline="394" xheight="23" ascent="11" descent="-10">High performance, royalty-free OCR and barcode recognition on Windows, Linux, Mac OS</block>
    <!-- ... -->
    <table id="4" x="320" y="1083" width="1766" height="169" rows="3" cols="2" cells="6" words="10" confidence="91">
     <cell id="3" x="320" y="1083" width="563" height="57" row="0" col="0" rowspan="1" colspan="1">
       <block id="29" type="text" subtype="line" x="343" y="1098" width="429" height="41" words="3" confidence="92" font-name="Times_New_Roman" font-size="41" font-bold="0" font-italic="0" font-serif="1" baseline="1130" xheight="23" ascent="9" descent="-8">PDF Output Formats</block>
     </cell>
     <cell id="5" x="883" y="1083" width="1203" height="57" row="0" col="1" rowspan="1" colspan="1">
       <block id="2a" type="text" subtype="line" x="905" y="1099" width="181" height="32" words="1" confidence="90" font-name="Times_New_Roman" font-size="37" font-bold="0" font-italic="0" font-serif="1" baseline="1130" xheight="22" ascent="9" descent="-5">Remarks</block>
     </cell>
     <cell id="6" x="320" y="1140" width="563" height="55" row="1" col="0" rowspan="1" colspan="1">
       <block id="2b" type="text" subtype="line" x="343" y="1154" width="83" height="31" words="1" confidence="93" font-name="Times_New_Roman" font-size="43" font-bold="0" font-italic="0" font-serif="1" baseline="1185" xheight="21" ascent="10" descent="-10">PDF</block>
     </cell>
    <!-- ... -->
    <block id="1" type="barcode" subtype="QR-Code" x="1397" y="1647" width="441" height="441" confidence="1">www.asprise.com</block>
    <block id="2" type="barcode" subtype="CODE-128" x="348" y="1651" width="583" height="147" confidence="148">Asprise</block>
  </page>
</asprise-ocr>

You may view the result in a browser. To do so, you need to save the XML into a file (e.g. ocr-result.xml) and download http://asprise.com/ocr/files/schema/15/aocr.xsl to the same folder as the XML file. Then open the XML file using IE, Firefox or Safari (Chrome doesn’t support this):

Searchable PDF Format¶

If you set the output format as OUTPUT_FORMAT_PDF, you need to specify the target PDF output file as following:

c_com_asprise_ocr_recognize(ptrToApi, fileImg, -1, -1, -1, -1, -1,
         OCR_RECOGNIZE_TYPE_ALL, OCR_OUTPUT_FORMAT_PDF,
         "PROP_PDF_OUTPUT_FILE=result.pdf|PROP_PDF_OUTPUT_TEXT_VISIBLE=true|\
         PROP_PDF_OUTPUT_RETURN_TEXT=text", "|", "=");

In above code, properties are specified in a single string separated by | (with key and value separated by =).

For the list of all supported properties, please refer to Asprise OCR Property Summary.

Once the OCR done, you can open the PDF output file with any PDF viewer and perform searches:

To make the text invisible or transparent, you simply set PROP_PDF_OUTPUT_TEXT_VISIBLE to false.

Both normal PDF and PDF/A are supported. Please refer to the options guide.

Rich Text Format (RTF)¶

Set the output format as OUTPUT_FORMAT_RTF, you can then output .rtf files that can be edited in most word processors (Microsoft Word, Libre Office, TextEdit, etc.).

c_com_asprise_ocr_recognize(ptrToApi, fileImg, -1, -1, -1, -1, -1,
         OCR_RECOGNIZE_TYPE_ALL, OCR_OUTPUT_FORMAT_RTF,
         "PROP_RTF_OUTPUT_FILE=result.pdf|\
         PROP_RTF_OUTPUT_RETURN_TEXT=text", "|", "=");

Once the OCR done, you can open the RTF file with a word processor:

OCR In Action¶

This section covers common OCR tasks.

Recognizes text only or barcode only¶

To save OCR time, you can choose to OCR text or barcode only:

Text only:

c_com_asprise_ocr_recognize(ptrToApi, fileImg, -1, -1, -1, -1, -1,
         OCR_RECOGNIZE_TYPE_TEXT, OCR_OUTPUT_FORMAT_PLAINTEXT,
         NULL, NULL, NULL);

Barcode only:

c_com_asprise_ocr_recognize(ptrToApi, fileImg, -1, -1, -1, -1, -1,
         OCR_RECOGNIZE_TYPE_BARCODE, OCR_OUTPUT_FORMAT_PLAINTEXT,
         NULL, NULL, NULL);

Perform OCR on part of the image¶

In some cases, you might not want to OCR the whole image. In that case, you can OCR on part of the image to save time:

c_com_asprise_ocr_recognize(ptrToApi, fileImg, -1, 0, 0, 400, 200,
         OCR_RECOGNIZE_TYPE_BARCODE, OCR_OUTPUT_FORMAT_PLAINTEXT,
         NULL, NULL, NULL);

The above code OCR the top left part of the image with width 400 pixels and height 200 pixels.

Perform OCR on multiple input files in one shot¶

You can perform OCR on multiple files in one shot:

c_com_asprise_ocr_recognize(ptrToApi, "test.png;test2.jpg", -1, -1, -1, -1,
         OCR_RECOGNIZE_TYPE_BARCODE, OCR_OUTPUT_FORMAT_PLAINTEXT,
         NULL, NULL, NULL);

Perform OCR on a certain page from the specified TIFF file¶

A TIFF file may contain multiple pages. If you need to recognize only a certain page, you can specify the page number as following:

c_com_asprise_ocr_recognize(ptrToApi, "test.tif", 1, -1, -1, -1, -1,
         OCR_RECOGNIZE_TYPE_BARCODE, OCR_OUTPUT_FORMAT_PLAINTEXT,
         NULL, NULL, NULL);

Note 1 means the second page (the page number of the first page is 0). -1 means all pages.

Perform OCR on a PDF input file¶

You use the following method to perform OCR on a PDF input file:

c_com_asprise_ocr_recognize(ptrToApi, "test.pdf", -1, -1, -1, -1, -1,
         OCR_RECOGNIZE_TYPE_BARCODE, OCR_OUTPUT_FORMAT_PLAINTEXT,
         NULL, NULL, NULL);

Improve OCR Accuracy¶

Scan in Grayscale with DPI 300¶

If the input images are from scanners, please follow the guidelines below:

Scan at resolution DPI 300 (or 400 for small fonts). Higher DPI may not necessarily result in better accuracy but lower DPI may affect the quality.
Scan in grayscale mode or color mode, but not black/white mode.

Pre-Process Images¶

Image pre-processing can be a great tool to improve OCR accuracy for special images.

Images with very small font¶

Enlarge it:

PROP_IMG_PREPROCESS_TYPE=custom|PROP_IMG_PREPROCESS_CUSTOM_CMDS=scale(2);default()

Images with light text on a dark background¶

Invert it:

PROP_IMG_PREPROCESS_TYPE=custom|PROP_IMG_PREPROCESS_CUSTOM_CMDS=invert();default()

Image operations specified PROP_IMG_PREPROCESS_CUSTOM_CMDS are executed in a chain. You can chain many opertions in the command. The list of available operations can be found at Image Pre-processing Related Properties.

Provide Dictionaries or Templates¶

The OCR engine is optimized to recognize human readable words and there are built-in dictionaries and templates. We’ll use an example to find out roles played by dictionaries.

For example, the image below contains two words: abcdopqr abcd0pqr:

The OCR result with the default settings will be: abcdopqr abchpqr. The OCR engine may have detected abcd0pqr but it discarded it as it is unlikely a word since there is a number between characters.

Suppose we do consider abcd0pqr as a word. In such case, we can provide our own dictionary file:

abcdopqr
abcd0pqr

Note word entries are separated by line breaks. Save the above content into a file dict.txt and specify it when you start the OCR engine:

long long ptrToApi = c_com_asprise_ocr_start("eng", OCR_SPEED_FAST,
     "START_PROP_DICT_CUSTOM_DICT_FILE=dict.txt", "|", "=");

char * s = c_com_asprise_ocr_recognize ...

Note this property must be specified when you call c_com_asprise_ocr_start. Now, you’ll get the extact text as on the image: abcdopqr abcd0pqr

Alternatively, you can specify the words using a template:

abcd\\npqr

Template entries are separated by line breaks. Save it to a file templates.txt and specify it using :

long long ptrToApi = c_com_asprise_ocr_start("eng", OCR_SPEED_FAST,
     "START_PROP_DICT_CUSTOM_TEMPLATES_FILE=templates.txt", "|", "=");

Again, the correct result is returned.

The following wildcards are allowed in templates:

`\c`	Any alphbet character
`\d`	Digit (0-9)
`\\n`	Alphabet or digit

Multi-threading with Asprise OCR¶

Most of modern computers run on multi-core CPUs. Multi-threading can significantly reduce the runtime by making full use of the processor power.

When you use multi-threading, keep in mind that each thread must have its own dedicated OCR engine instance.

Software Packaging and Distribution¶

So you have successfully developed your Java applications with Asprise OCR. It’s time to distribute your programs to end users. First, make sure you are an authorized licensee registered with Asprise. To purchase a license, please visit: http://www.asprise.com/product/ocr

Java Scanning & Image Capture SDK

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JSane SCANNING ON LINUX, UNIX AND MAC

Java TIFF Library

Java PDF Library

Asprise OCR SDK for Java, C# VB.NET, Python & C/C++

High performance, royalty-free Java OCR and barcode recognition on Windows, Linux, Mac OS and Unix