As discussed on this SO Question, tesseract often operates better with .png files than with .tiff files. (I have also experienced this directly myself). Unfortunately, there are fewer box editors available that can handle .png files. I therefore am tempted to train my data using .tiff files but then use .png files for my main OCR work. Will doing so reduce the effectiveness of the training? If so, are there any ways to address it (other than just finding a box editor that can accept .png files)?
相关问题
- Can't Compile Tesseract API example for WIndow
- How to improve OCR accuracy?
- What preprocessing operations are performed by Tes
- Annoying python tesseract error Error opening data
- Changing image DPI for usage with tesseract
相关文章
- Swift 3 - How do I improve image quality for Tesse
- Moroccan License Plate Recognition (LPR) using Ope
- Tesseract thinks my 1's are 7's
- How to hide the console window when I run tesserac
- Recognizing numbers in an image in java
- fatal error: strtok_r.h: No such file or directory
- Android Tesseract App crashes on OCR Function
- tesseract OCR in iphone application
Some editors such as jTessBoxEditor (Tesseract AddOns page) support both TIFF and PNG formats. Since TIFF can be multi-page image, it can have a lot more samples for your character set than single-page PNG.
https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract