Data capture, character recognition OCR ICR OMR CHR BCR, image processing, forms data capture, document indexing, automatic data extraction Data capture, character recognition OCR ICR OMR CHR BCR, image processing, forms data capture, document indexing, automatic data extraction

Recogniform MICR CMC7 SDK

SDK development tools



Other products


Recogniform MICR CMC7 SDK

History: MICR CMC7 font was developed in France in late 1950s, for automatic cheque processing. It's currently used in Europe, Mexico, Brazil and in other countries world-wide.

Standard: digits font print size is 2.85mm, while symbols size is 2.70mm. Each character is made up by vertical lines divided by five narrow spaces and two larger spaces.

Capability: our MICR CMC7 recognition engine is size tolerant and it's able to read codelines with small size variation. The recognized character set is made up by the following digits and symbols:
Recogniform MICR CMC7 SDK
According to the picture order, the last symbols are called: S-1 (Internal), S-2 (Terminator), S-3 (Amount) , S-4 (Not Used), S-5 (Routing) and, after recognition, they are respectively reported like "/" "=" "!" ">" "^" in ASCII characters.

Accuracy: with MICR CMC7 recognition engine, the accuracy reaches 100% in case of good quality scanned images; if the quality is low or medium, error rate will usually be less than 0.5%. For each recognized character a confidence level is reported, to let you to appreciate how much accurate has been the recognition process.

Technology: our engine is based on three distinct classifiers using different methods: artificial neural network, features extraction, statistycal matrix matching. An expert system, using fuzzy rules, reconciles all the outputs obtaining the best match.

Speed: speed is linked to cpu speed. Using Pentium processors, time performance are usually included between 50 and 150 CPS.

Input: monochrome images (like memory DIB handles, Device Independent Bitmap) at resolution of 200 or more DPI are accepted in input. Better results can be obtained using gray-scale images with our dynamic thresholding SDK.

Output: output is made by recognized characters ASCII codes, by confidence level and by coordinates of each area containing characters.

Platform: all Windows platforms are supported.

Packaging: the engine is packaged in DLL format. The total size is 500 KB. No extra file is required.

Here is a sample of CMC7 codeline image, automatically readable with 100% accuracy:
Recogniform MICR CMC7 SDK - Example di CMC7
To test this library you can download a demo application (500 KB) that allows you to recognize codelines from your images: please give us your feedback and your comments after the test!
Here is the source code sample that uses our engine: 

// Demo user function
long RecognizeMyCodeline(long CodelineDIB)
 {

  // Declare local variables 
  long Session,Error,Lines,LineLen;
  char Chars[1024]; // Codelines are less then 1024 chars !
  single Confidences[1024];
  rect Rects[1024]

  // Init the library in evaluation mode
  Error=CMC7_Init("demo","demo", &Session);
  
  // Check if any error occurred
  if (Error!=CMC7_OK)
   {
    
    // Perform the recognition
    Error=CMC7_Read(Session, CodelineDIB,  TRUE);

    // Check if any error occurred
    if (Error!=CMC7_OK)
     {

      // Retrieve the codeline length
      CMC7_ResultLineLength(Session,0,&LineLen);

      //===============================================================
      //You could allocate here memory for Chars, Confidences and Rects
      //using LineLen value instead to use fixed size buffers...
      //===============================================================

      // Retrieve the codeline chars
      CMC7_ResultLineChars(Session,0,&Chars);

      // Retrieve the codeline char confidences...if required
      CMC7_ResultLineConfidences(Session,0,&Confidences);

      // Retrieve the codeline char rects...if required
      CMC7_ResultLineRects(Session,0,&Rects);

      // =============================================
      // Add here your code to use the recognized data
      // =============================================

     } 

    // Deinitialize the library
    CMC7_Done(Session);
   }
  return (Error);
 }
Evaluation version
Through the download section you can download an evaluation version of this product.


Looking a solution ready to use capable of processing images, documents and forms contenents characters for font at magnetic ink CMC7? Choose Recogniform Reader!
To more information about Recogniform MICR CMC7 SDK and our solution for data capture and image processing, you can send us a email to informazioni@recogniform.it or fill the below form.


Company
Title
First Name
Last Name
Address
Zip Code
State
Country
Phone
Fax
E-mail
Message

Taking note of Information of the policy of personal data (D. Lgs 30 june 2003 n.196 and subsequent amendment and additions), click on the "OK" button i consent to collect, hold, process, communicate, and if appropriate, discontinue the treatment/s of personal data that concern me, for the purposes specified in the policy.

   
  • SDK MICR CMC7 - Purchase

    SDK MICR CMC7

    € 2.000,00 + VAT
    Purchase
  • SDK MICR CMC7 Licenza Runtime - Purchase

    SDK MICR CMC7 - Runtime license

      x   € 200,00 + VAT
    Purchase