Leadtools.Forms.Recognition.Ocr Getting Started

This project is provided as an example of how to implement the following three interfaces: IMasterFormsRepository, IMasterFormsCategory, and IMasterForm.
This demo is not intended to be a running one. These three interfaces are used with Leadtools.Forms.Auto.AutoFormsEngine class to store master forms and categorize them.
The code provided in this project is the default implementation for the three mentioned interfaces that is shipped with LEADTOOLS SDK for Forms
This project may help a user to build his own implementation of these interfaces that fits his application, for example, database repository.

Demonstrates using Forms Recognition and Processing to recognize bank checks.

Detect the location of and recognize the data in fields from bank check images, including:

• MICR data
• Payee information
• Check date
• Amount
• Signature area
• Payee information

Demonstrates business card recognition features.

Extracts organization name, first and last name, title, address, e-mail, website, fax number, and phone number from images of business cards.

Demonstrates how to perform Forms Recognition and Processing.

Allows users to recognize and process filled forms located on the hard disk, as well as those acquired from a TWAIN scanner.

Compares the master form template that has been passed in and matches it to a filled form while recognizing and extracting the data.

Demonstrates creating and editing master forms sets.

Can be used for building and maintaining your library of master forms and provides many options, including creating/editing OCR, ICR, OMR, Barcode, and Image Fields for extraction.

Demonstrates creating and editing master forms sets for Forms Recognition and Processing.

• Build and maintain a library of master forms
• Options including creating/editing OCR/ICR, OMR, Barcode, and Image Fields for extraction

Demonstrates using Forms Recognition and Processing to recognize MRTD zones in passports.

Recognize and extract passport features and fields.

Demonstrates the high-level LEADTOOLS OCR Auto Recognize support.

• Performs high-level OCRing from an input image file to a final document, such as PDF or DOCX.
• Convert the document in one shot.
• Various events and a logging mechanism can be used to modify and track the recognition operation.

Demonstrates OCR support.

• Convert raster images to document files
• Recognize text from over 40 languages
• Spell checking and dictionary support
• Automatically detect, segment, and recognize multiple languages on the same document
• Full page analysis and zonal recognition
• Automatic document cleanup and pre-processing

Demonstrates OCR words/characters update support for all supported OCR engines.

• Update words or characters in the recognized page before saving them to the desired document format.
• Delete words from the recognized page before saving them to the desired document format.
• Highlight recognized words.

Demonstrates using the MICR, ICR, and OMR recognition modules.

Demonstrates OCR support for all supported engines.

• Choose the LEADTOOLS OCR engine during application startup
• Convert raster images to document files
• Recognize text from over 40 languages
• Spell checking and dictionary support
• Automatically detect, segment, and recognize multiple languages on the same document
• Full page analysis and zonal recognition
• Automatic document cleanup and pre-processing

Demonstrates using LEADTOOLS OCR in a multi-threaded application.

Demonstrates combining LEADTOOLS Screen Capture, OCR, Document Writers, and Image Viewer Control into one application.

• Capture selected area, window or full-screen
• Convert to RTF using LEADTOOLS OCR engine and Document Writers
• Display the image using the LEADTOOLS Image Viewer control
• Copy RTF and image data to the clipboard
• Draw on the image using a pen or brush

Demonstrates programmatically controlling the various LEADTOOLS OCR engine settings.

Demonstrates combining OCR and TWAIN scanning into one demo.

• Acquire images from a TWAIN device
• Perform OCR on the scanned image
• Save the recognition results

Demonstrates zonal OCR based on a user-defined rectangle.

• Load an image from a file
• Draw a user-defined zone using the LEADTOOLS viewer control's rubber-band feature
• Perform zonal OCR based on the user-defined zone
• Save the recognition results

Demonstrates functionality that intelligently analyzes the bubbles to automatically determine question groups and multiple-choice answer sets so that users can rapidly define master forms.

Load an image from a file.

Draw a user-defined zone to select multiple bubble sheets.

Compare filled in form data to master form template.