Tesseract OCR with Java with Examples
In this article, we will learn how to work with Tesseract OCR in Java using the Tesseract API.
https://mvnrepository.com/artifact/ne...
Tessddata download (rar):
https://drive.google.com/file/d/1ByQk...
Generally OCR works as follows:
Pre-process image data, for example: convert to gray scale, smooth, de-skew, filter.
Detect lines, words and characters.
Produce ranked list of candidate characters based on trained data set. (here the setDataPath() method is used for setting path of trainer data)
Post process recognized characters, choose best characters based on confidence from previous step and language data. Language data includes dictionary, grammar rules, etc.
Performing OCR on unclear images
Note that the image selected above is actually very clear and grayscaled but this doesn’t happen in most of the cases. In most of the cases, we get a noisy image and thus a very nosy output. To deal with it we need to perform some processing on the image called Image processing.