4-8205 Captiva 7.6 Advanced Recognition On Demand

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Duration: 4 days

This course is designed to provide the knowledge needed to configure and develop a solution using Captiva Advanced Recognition. You will learn to configure and use Captiva Advanced Recognition modules to classify the images automatically and manually (if required), and extract and validate the data. It provides in-depth knowledge and usage of all classification and extraction components. All concepts are enforced with hands on exercises.

On completion of this course, participants should be able to:

  • Describe the Advanced Recognition modules: Classification, Identification, Collector, Auto-Learning Supervisor, and Recognition Designer
  • Use Recognition Designer to create a new Recognition project
  • Design and implement Advanced Recognition templates including: − Standard − High Precision Anchor (HPA) − Handwritten − Text matching − Keyword matching
  • Define parameters to control manual classification
  • Use binding fields and separators to dynamically control batch division
  • Create Captiva Capture processes containing Advanced Recognition modules and process batches

Delivery Options:

Prerequisites

  • 3-8201 – Captiva Fundamentals and Administration
  • 4-8206 – Captiva Designer

Pricing

Format Currency Price
Per Student at OpenText Site USD  3,580.00 
Per Course at Customer Site USD  18,000.00 

Taxes: All prices exclude VAT or other taxes where applicable (all currencies).

Extra expenses: Customer site course prices do not include instructor travel expenses, which are billed separately.

Reservations: Please provide a minimum of 3 weeks advance notice when arranging courses at customer sites.

Course & Workshop Calendar

Below is a listing of all the currently available dates and locations for this course or workshop from OpenText.

To register, please select the course you want to attend by clicking the "Add to cart" button.

Date Course type Course name Language Location Price Add
  Web-based  4-8205  English  Web-based 3,580.00  Add to cart