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 OCR-A SDK

Recogniform OCR-A SDK

Recogniform OCR-A SDK
History: the OCR-A font was created in 1968 by the American Type Founders and it has been among the first optical character recognition typefaces to meet criteria set by the U.S. Bureau of Standards. The design is so simple that it can be easily read by a machine, but it is slightly more difficult to be read by a human eye. The OCR-A is in conformity with the standard X-3.17-1981 (size I) fixed by the American National Standards Institute (ANSI) in 1981. The same design is also specified by the German DIN 66008 standard.

Standard: font print size is 12 points, print density is 10 cpi.

Capability: our OCR-A recognition engine is size independent and is able to read every font size. The basic recognized characters set is made up by the following digits and symbols:
Recogniform OCR-A SDK
Accuracy: with OCR-A recognition engine, accuracy reaches 100% using good quality scanned images; if quality is low or medium, the error rate will usually be less than 0.5%

Technology: our engine is based on three distinct classifiers that use different methods: artificial neural network, features extraction, statistical 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 or gray-scale bitmaps with 200 or more DPI resolution are accepted in input. The best results can be reached using gray-scale images because, internally, a binarization algorithm is used.

Output: output is made up by recognized characters as well as confidence levels. Placeholders are used for unrecognized or very suspicious characters.

Platform: all Windows platform are supported.

Packaging: the engine is packaged in DLL format. The total size is less than 1 Mb. No extra file is required.

License: application development requires a SDK license and application distribution requires payment of royalties.

Demo: a free of charge evaluation package is available upon request.

Prices: SDK and licenses prices are available upon request.

Examples: the following images are ALL automatically readable with 100% accuracy:
Recogniform OCR-A SDK

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 text lines with OCR-A characters? Choose Recogniform Reader!
To more information about Recogniform OCR-A 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 OCR-A - Purchase

    SDK OCR-A

    € 2.000,00 + VAT
  • SDK OCR-A - Runtime license - Purchase

    OCR-A SDK - Runtime license

      x   € 200,00 + VAT