Archive for April, 2012

Hi folks,

This week we continue the Optical Character Recognition subject by providing our general public with few advices for pre-scan and post-scan stages of document archiving.
A properly done OCR task is not simply about text extraction, it also implies a set of operations meant to optimize the OCR process and increase efficiency in overall document-management practice.
To put it in other words, operations commonly considered as “adjacent” can actually really improve or totally distroy text recognition making your later life either comfortable or a living hell.
Here are just a few things to keep in mind :

(1) Before scanning

  • when placing the paper in scaner make sure the pages have the correct text orientation so you won’t have to later waste time by either having to wait for the OCR software to automatically determine the orientation or, even worse, to have to make this operation manually, via file-by-file checking ;
  • make proper scan settings to insure best quality for OCR (for example, 250 or 300 dpi resolutions are considered optimal for most of the documents) ;
  • test OCR output for a few pages before starting a batch scanning operation to make sure your settings are optimally fine-tuned
  • select a lossless file format (such as TIFF) ) and do not be afraid of big sizes if the documents are important to you : storage space is not an issue these days and you can later convert the files to any other format for handling (or sharing) purposes.

 

Actually, for important document archives , maybe the best idea would be to store the “original” files into TIFF format then move them on an external storage device or media (external hard-disk or DVD, etc) and use for current work a duplicated archive containing files converted into a format that you consider optimal for your needs ( JBIG2, PDF, etc).
To a certain extent, this approach would be similar to how camera RAW format works for the professionals in digital photography domain.

 

(2) After scanning

  • use relevant filenames for resulting files and not mind if filenames tend to become lengthy : it isn’t hard to do using automated file naming tools and , even if it might take a bit more of your time at file creation stage it can be a really life saviour later. And make sure that the filename contains important data, such as the language of the text, to name just one important detail for OCR.
  • do not hesitate to use image enhancement techniques : the quality of the paper documents cannot be controled and nor hardware (ie scanner) particular details which might influence output quality (just an example among dozens : tiny scratches on scanner’s glass).

 

To overcome them , professional document imaging software vendors provide their users with a wide range of image correction features.
In this blog you will find some explanations on brightness/contrast/gamma, median filtering and auto-deskew.
But more explanations are yet to come.

Cheers!

Bogdan

 

Big Browser on April 27

Google's secret weapon to fight Redmond and Cupertino Read article Eugene Kasperski : "In terms of security, Apple is 10 years behind Microsoft" Read article Repetitive tasks : geeks vs. non-geeks Read article Read this before naming your startup Read article Why the iPad Has to be Made in China Read Article

Casual Friday on April 27

A beautiful day to play outside.

A beautiful day to play outside.

A beautiful day to play outside.

A beautiful day to play outside.

Google’s secret weapon to fight Redmond and Cupertino
Read article

Eugene Kasperski : “In terms of security, Apple is 10 years behind Microsoft”
Read article

Repetitive tasks : geeks vs. non-geeks
Read article

Read this before naming your startup
Read article

Why the iPad Has to be Made in China
Read Article

Hi folks,

This week we will provide our general public with a first article about Optical Character Recognition, a key feature in document imaging domain (but not limited to it) and later we’ll continue to detail some particularly important aspects and best practices in OCR.
But for now, let’s just make a basic introduction.

Despite the many various definitions of OCR, a most simple and accurate one would be: Optical Character Recognition is meant to identify text from non-text inside a digital image.
The history of OCR  is quite fascinating, not only because of its very fast-growing complexity, but also for its unbelievable early beginings.
Being an ahead-of-public-times technology, OCR started as a discrete military research (same as computers, internet and all each and every other advanced technologies on Earth).
But can you believe that its first developments started around 1914 or that, during the 1960′s (a time when general public was barely communicating using wire telephones), some national postal companies, such as US Postal Service or the British General Post Office, were already using OCR to automatically sort our grandparent’s handwritten mail ?

Learn more ...

Tools for students

Tools for students