Category Archives for "ILINX"

300 Million Pounds of Frozen Vegetables

If you haven’t seen our National Frozen Foods customer success video yet, take a break for less than 3 minutes and see how this corporation that produces over 300 million pounds of frozen vegetables a year utilizes their Enterprise Content Management system to increase their business efficiencies.

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How Intelligent Capture Utilizes Machine Learning for Template-free Training

There has recently been a lot of chatter in our industry about machine, and I want to share a few thoughts about how ImageSource’s ILINX Advanced Capture 8.5 platform tackles this topic. Our approach is to deploy a neural network-based document processing model that does not rely on templates. Our machine-learning platform supports custom-developed content classification projects with much faster turnaround than traditional rules-based models. The result is significantly faster time-to-production with more reliable and accurate results for our customer partners. ILINX machine learning offers:

  • Dynamic data location and extraction of information on complex documents
  • Image comparison to support check fraud applications
  • Feature extraction and classification to support medical imaging diagnostics

Our solutions leverage machine learning to create pre-built form classification algorithms in the lab, which provides a more-flexible and efficient way to develop new document processes.

For the sake of this article, I’d like to focus on the goals of almost every AP automation project:

  • Reduce paper handling and workload
  • Simplify processes down to one system for all invoices and other types of documents whether paper or digital
  • Gain visibility into where each invoice is in the process

For the initial document discovery, a technique called “clustering” can be used to automate the logical grouping of like documents. Clustering, in this example, refers to different categories of like invoices, checks, receipts and remittances. Documents can be organized automatically. Invoices from one vendor can be grouped together, such as receipts to travel documents. The result is a set of documents grouped by likeness that can then be further evaluated.

Next, each cluster, if part of a required document, can be given a document type (or class). The training set can then be imported into the machine learning ILINX solution designed to automatically identify key characteristics of each document type (often called “feature extraction”). This trains the neural network for each document type. When performance is not ideal for a specific class, the customer can add those misclassified or unclassified documents to the class sample set to “re-train” the neural network.

Data extraction is simplified by taking sample invoices that have been processed, along with the data required for each document. Together, these automatically train the software to locate the matching data and derive positional algorithms for each data field. The software uses the processed data for each page and locates the corresponding data on every document. The solution will do this for each sample and then automatically create algorithms based upon exact location, changes in placement across each example and relative position to other data, among other elements. The knowledge worker simply examines the results.

The technology used to configure the system also makes real-time adjustments. Complicated projects that typically would take weeks, if not months, are significantly reduced. Machine learning technology streamlines the manual processes used in production and helps reduce overall labor costs.
This effort can be applied to automate both paper-based and electronic document-based processes in a single workflow.

by Terry Sutherland, CEO, ImageSource

If you would like to learn more about how ILINX machine learning can automate your business please contact us at inforequest@imagesourceinc.com or

Two birds , one stone: ILINX eForms

ILINX has yet another tool to enable capture anywhere your work takes you. ILINX eForms is a flexible, user-friendly electronic forms software for the capture, processing and delivery of data, images, even signatures. It can do so in a variety of ways, by using a keyboard, a finger or stylus on a touchscreen (using Intelligent Character Recognition or ICR) and even a database lookup. It allows you to add an attachment, or take a picture and embed it in the form. And ILINX eForms can be accessed on a variety of devices, from desktop to tablet to smartphone. Did I mention it is flexible?

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Why I Love Electronic Forms!

I love electronic forms!

I love being able to not just fill out, but also submit forms electronically either from my PC or my tablet. It’s easy to change information if I mistype something or need to change information. With paper forms, you typically have to reprint the page and enter in all the information again. I can’t tell you how many times I’ve screwed up filling out a paper form and had to redo it. There’s also something nice about being able to click the “Submit” button at the end and not have to print and mail a document in and double-check to make sure it was received on the other end a few days later.

I’ve noticed that more companies and organizations are turning to electronic forms for both consumers and constituents. Users can fill out forms and attach relevant documents or information to the form and in some cases, even sign the form right then and there, no printing necessary!Continue reading

Pre-ECM Project Checklist: Object Storage Decision

We’re going to add one more item to our pre-ECM project checklist:

1) Where should we store our content?

Database storage used to be expensive.  In the 1950’s, the cost per megabyte of storage exceeded $10,000/MB.  Today, the cost has dropped to a few cents.  Not only have storage costs dropped, so have memory costs as they have followed the same price drop as storage.  Taking advantage of lower costs; most DB manufacturers have begun offering high performance in memory databases (IMDB – In-Memory Database).

From an ECM perspective; because of the higher database costs, content storage solutions were designed to use databases to store only the metadata or the index values associated with content, and the actual files and documents were stored on cheaper file storage devices.   While lowering costs, this approach meant that ECM solutions were forced with managing, synchronizing, backing up, and designing applications where index values were one place and the actual documents, audio/video files were somewhere else.Continue reading

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