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Hitherto,
any written or printed document, if it is to be replicated
digitally, needs to be photocopied or scanned. Such
a replicated document cannot be altered in terms of
the spellings, words, font style and size that the document
contains. Also typing an entire document in order to
replicate it, is extremely time consuming.
In order to overcome
the above-mentioned issues C-DAC GIST has developed
Chitrankan- the first OCR (Optical Character Recognition)
system for Indian Languages.
The OCR process
involves:
- Conversion of printed matter
into an electronic image - the printed matter
can be converted into an image using Scanner or a
Digital Camera
- Electronic Image Processing - this involves identifying text information by analyzing
the image for noise and skew. Once text information
is available another algorithm reads and recognizes
the printed matter
- Storing the extracted text information
as a electronic data: the recognized input is
converted to a standard format, which can be opened
in any word processing application, facilitating the
user to edit the text data.
Chitrankan archives
Indian Language content in electronic form through OCR.
It enables the user to take a book, magazine or printed
text in an Indian Language, feed it directly into an
electronic computer file, and edit the file using a
word processor. Once the data is in the form of electronic
text it can be searched, sorted and indexed.
Chitrankan saves the
user the effort of typing an entire document.
Chitrankan scans a document to screen by recognizing
the text and other images as objects. These scanned
images are flawless and can be stored or printed time
and again.
Exceedingly user-friendly
with features that can edit, move, resize or duplicate
the scanned document, Chitrankan also provides a spell
check facility.
The potential of Chitrankan
is enormous as it enables users to harness the power
of computers to access printed documents in Indian Languages.
Software Advantage:
- Recognizes Hindi and Marathi languages
along with Embedded English Text.
- Skew detection and correction for
input image upto ± 15°
- Grabs images directly from the scanner
for processing
- Automatic Text and Picture region
detection
- Supports all TWAIN compatible scanners
and digital cameras
- Supports 256 grayscale/color, .bmp/.tiff
images scanned at 300 dpi as input image for recognition
- Ideal for font sizes between 10
pt. and 36 pt, and all popular fonts.
- Saves scanned/modified images as
.BMP files
- Saves recognized text in ISCII format
or exporting as .RTF for editing using GIST range
of software
- Uses advanced DSP (Digital Signal
Processing) algorithms to remove "Noise"
and "Back Page Reflection"
- Enables printing both - the input
image as well as the recognized text.
- Provided with inbuilt Flip, Rotate
and Negate options for Input Image
User Advantage:
- Allows deletion of associated pictures
from the image by using the ERASE option
- Provides painting tools to join
the breaks in the characters to get good results
- Allows OCR to be applied on an image
rotated by 180° or flipped
- Applies OCR to image having text
in reverse by using INVERT option
- Provides inbuilt spell checking
facility
- Provides editing tools like cut,
copy, paste, find and replace options for use on recognized
text
Application Areas:
- Office Automation
- Archival of Text Matter
- DTP
- Data Entry
System Requirements:
- Minimum Configuration:
Pentium II with 64 MB RAM
Virtual Memory requirement 300 MB (Swap File Space
in Hard Disk)
- Recommended Configuration:
Pentium III with 128 MB RAM and above
Virtual Memory requirement 400 MB
- Operating Systems Supported:
Window NT ver. 4.0, Service Pack 6.0 and above/ Windows
9X and above, Windows 2000 and Windows XP.
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