• Neural-Inspired Algorithms
• Flexible OEM Integration

        Full Source Code

        API Library

        Plug-in Module

• Single-Pass Capture
• Supported Capture Devices

        Scanners, Cameras

        Mobile Devices

        Existing Image Files

WHAT IS PERFECTSCAN®?

There have been many attempts at perfecting analog-to-digital image enhancement. Traditional techniques are applied at either the pixel or local level. These techniques span from the use of morphological operators to reduce speckle, fill small holes and smooth edges, to the use of some forms of dynamic thresholding. Although these techniques improve some images, they largely fail when there are many different shading areas, uniform backgrounds or text on dark backgrounds.

PerfectScan® is a unique image enhancement solution that has been acknowledged as the best in the industry. Dynamic Computing Solutions (DCS) knows that this is a bold statement, and we invite you to compare for yourself.

PerfectScan® has been developed based on the early visual path processing and recognition models found in the human visual system. Instead of processing an image at the pixel level, PerfectScan® takes it further and analyzes the entire image using a set of cognitive-based algorithms. These neural-inspired algorithms are tuned specifically to reduce noise, achieve perfect gamma correction, and obtain optimal image clarity. The end result is an output image that was never before thought possible.

Designed with a flexible and customer friendly approach in mind, PerfectScan® can work with virtually any capture devices (scanners, cameras, mobile devices...) that are capable of producing gray-scale and/or color images. These scanners do not have to be certified by PerfectScan®. In addition to document imaging, PerfectScan® is also proven to be exceptionally effective with micro-film/fiche scanned images. Please contact us for more details.

FEATURES OFFERED BY PERFECTSCAN®

• Online (device-based) processing (scanners, cameras, mobile devices)
• Offline (file-based) processing
• Automatic noise reduction
• Automatic brightness equalization
• Automatic boost of brightness and contrast for easier text recognition
• Automatic character rebuilding for better text recognition
• Adaptive local contrast enhancement
• Adaptive binarization equalizing bad lighting conditions
• Automatic cleaning of document background (if desired)
• Automatic removing of hologram (i.e. on driver licenses) for better OCR

More details ...