Input Accel Process

Following are the steps to create and install and use an Input Accel Process

1. Create a IPP either using Process Developer or Capture Flow designer.

2. Compile the IPP file to generate an IAP File

3. Install the IAP into Input Accel Server.

4. Once the IAP file is installed in IA server, settings to be done for all the steps in the process.

5. Once the settings are applied for the IAP, input accel process is ready to create batches.

Dispatcher Project Folder Structure

This section explains the folder structure of a Dispatcher Project. A dispatcher project folder structure is displayed below

• Cache - This folder is used when the compilation cache is enabled.
• IdxClasses - This folder contains all the Indexing Family defined within Dispatcher Project
• Models - This folder contains all the templates defined within the dispatcher project. A subfolder is created for each template and the folder name corresponds to the template ID within dispatcher project.
• Resources - This folder contains all the OCR engine configuration, Image Filter configuration and the script files (.bas)

Dispatcher Modules

This section is used to describe the modules in the Dispatcher. There are four major module

• Dispatcher Manager
• Classification
• Classification Edit
• Recognition
• Validation

Classification: Classification module is used to classify the scanned images by comparing them with already defined templates with the Dispatcher Project. If the classification module is not able to classify a document , then the document needs to manually classified by an operator. Classification is an unattended module.

Classification Edit: Classification Edit module provides an interface for the operators to manually classify a document if it is not auto-classified. This modules displays the scanned images and also the list of templates within the Dispatcher project, so that the operator can view the match and assign it to a matching template.

Recognition: Recognition module is used to extract (OCR) the data from the images. Field data are extracted from the images either based on index zones or free-form extraction. Recognition module is an unattended module.

Validation: Validation module is an attended module used to validate the data extracted from the images using the recognition module.