RakeHelper is a software tool that searches for rakes in monochrome images to extract and recognize characters. It also uses rakes as features for form identification and recognition, serving as anchor elements. This tool requires monochrome images as input.
As someone who frequently deals with business documents, I've had my fair share of frustration when it comes to dealing with preprinted elements such as field rakes or character rakes. These artifacts can appear on scanned documents due to banding or folding of papers, making it difficult for a system to detect them during processing.
Thankfully, I discovered RakeHelper, a software that aims to tackle this issue. Its comprehensive approach to document structure analysis and character recognition is done in several phases: scanning, thresholding, skew detection and correction, despeckle or speckle removal, line removal, border removal, detection of preprinted elements, page orientation detection and correction, layout analysis, classification, and character recognition.
Each step is essential for the overall success of the process. RakeHelper's strength lies in its ability to efficiently remove rakes and extract/recognition characters. This software can also use rakes as features in form identification and recognition as anchor elements, further increasing its usefulness.
RakeHelper requires a monochrome image as input, ensuring that the software is optimized for generating the best results. Overall, I highly recommend RakeHelper to anyone who deals with business documents regularly. Its efficiency and comprehensive approach to document structure analysis and character recognition make it a valuable software to have on hand.
Thankfully, I discovered RakeHelper, a software that aims to tackle this issue. Its comprehensive approach to document structure analysis and character recognition is done in several phases: scanning, thresholding, skew detection and correction, despeckle or speckle removal, line removal, border removal, detection of preprinted elements, page orientation detection and correction, layout analysis, classification, and character recognition.
Each step is essential for the overall success of the process. RakeHelper's strength lies in its ability to efficiently remove rakes and extract/recognition characters. This software can also use rakes as features in form identification and recognition as anchor elements, further increasing its usefulness.
RakeHelper requires a monochrome image as input, ensuring that the software is optimized for generating the best results. Overall, I highly recommend RakeHelper to anyone who deals with business documents regularly. Its efficiency and comprehensive approach to document structure analysis and character recognition make it a valuable software to have on hand.
What's New
Version 1.0: N/A