GdPicture MICR SDK Preview is a free tool for anyone needing to extract the characters within the MICR font lines from scanned Bank checks or other MICR-secured documents.
MICR stands for Magnetic Ink Character Recognition and is a standard encoding technology in Banking industry used mainly for checks.
MICR technology encodes key information concerning the document on which it is printed and comprises two major font standards and special set of characters: CMC-7 and E-13B.
GdPicture MICR engine is specialized in their detection and recognition.
A specialized plugin for GdPicture.NET SDK allowing developers to programatically use all features of our MICR engine will be available this year.
If you want to learn more about MICR check out our blog article on this subject.
MICR SDK Features:
Supports CMC-7 and E-13B fonts.
Accurate on poor quality and poorly contrasted images.
Recognition accuracy reaches 99.9% on 300 dpi images.
Multithreaded processing speed reaches 40 checks per second on Intel Core i7 computer.
Works on any bit-depth bitmap.
Automatically repairs altered symbols.
Automatic detection of MICR fonts (no need to set Region of Interest on the document).
Returns recognized characters with confidence percentage and an alternate set of recognized characters at next-lower level of confidence.
Returns image size, scanning resolution and bit-depth of the scan.
Allows chosing white-lists of characters.
Allows optional setting of the expected number of characters.
GdPicture MICR SDK engine is what happens when creative minds meet inefficient solutions : they figure out a new solution to solve the problem.
Lots of our GdPicture.NET SDK customers use OCR to extract text from various corporate documents among which Bank checks are quite frequent.
But Bank checks include identification code lines made using special ink (magnetic) and fonts (CMC-7 and E-13B fonts) which, to say the least, are tough to get recognized by usual OCR engines.
Hence the need to improve MICR (Magnetic Ink Character Recognition) font detection and character extraction for these special fonts standards.
The intense development and research work we’ve done resulted in a highly-accurate new solution specialized in MICR as a complementary tool for document OCR.
Feel free to test our MICR engine efficiency by downloading the demo!