Recogniform Technologies - Experts in: ocr, icr, bcr, omr, page analisys, form identification, images enanchement

Recogniform - Data capture technologies New web site - Data Capture Technologies

 

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Recogniform Technologies is the Italian company leader in consulting and software development in high technology image processing and optical recognition, providing solutions to many Industry and Services private Companies, Government Agencies and Educational Institutions all over the world.

Optical recognition and data-capture

 

Image Processing


DATA CAPTURE

Data capture and optical recognition from structured, semi-structured and unstructured forms of any kind (paper tests, registration cards, bank and postal documents, ID cards, passports, invoices and so on);

ICR   
(Intelligent Character Recognition): recognize and convert hand-drawn characters into editable text;

OCR  
(Optical Character Recognition): recognize and convert printed charcaters into editable text;

OMR  
(Optical Marks Recognition):
verify if mark-boxes are empty, checked or filled, converting information into digital data;

BCR  
(Barcodes Recognition): recognize 2-D and 3-D (PDF417)  barcodes and convert into editable text;

OCR A
(OCR-A font characters): recognize and convert OCR-A font printed codelines into editable text;
 

OCR B
(OCR-B font characters): recognize and convert OCR-B font printed codelines into editable text;

 

MICR E13-B
(MICR E13-B font characters): recognize and convert MICR E13B codelines into editable text without specific magnetic head;

 

MICR CMC-7
(MICR CMC-7 font characters): recognize and convert MICR CMC7 codelines into editable text without specific magnetic head;

 

CHR
(Cursive Handwritten Recognition): convert cursive hand-written characters into editable text;
 

 


IMAGE PROCESSING

Image processing tools and libraries to enhance the quality of your scanned or microfilm images, improving optical recognition results and optimize document's management;

Forms identification
identify the kind or family of a form using a pre-built database;

Page Analysis
analyze and segment a page in textual and not-textual (images and shapes) blocks;

Images Enhancement
improve images quality using deskew, despeckle and black border removal;
  
  

Dynamic Thresholding
convert grayscale image in monochrome image preserving light characters and removing dark background;

Forms Alignment
align a form with a predefined master sample, using align box, dominant lines or pre-printed form content;

Fields Classification
identify the field type: printed or handwritten;

Form Removal
remove all the pre-printed part of a form and  remove horizontal and vertical lines, field boxes and char boxes.

Image Quality Control and Usability Assurance Check 21 compilant
evaluate automatically image quality and usability measuring image quality defects and/or deviations.


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