Tesseract

1. version 4
   1. LSTM(Long Short Term Memory) 기반 엔진 구현

* RNN(Recurrent Neural Network)의 일종

1. 1. 다른 딥러닝 기술

* CNN(Convolutional Neural Network): 단일문자가 포함된 이미지를 인식하는 경우

1. 1. 설치

 https://github.com/tesseract-ocr/tesseract/wiki#installation

1. 1. 명령어 사용법

$ tesseract 영문텍스트.png stdout -l eng --oem 1 --psm 3

1. 1. 1. 파라미터
         1. oem (OCR Engine modes)

 0    Legacy engine only.
 1    Neural nets LSTM engine only.
 2    Legacy + LSTM engines.
 3    Default, based on what is available.

1. 1. 1. 1. psm (Page segmentation modes)

 0    Orientation and script detection (OSD) only.
 1    Automatic page segmentation with OSD.
 2    Automatic page segmentation, but no OSD, or OCR.
 3    Fully automatic page segmentation, but no OSD. (Default)
 4    Assume a single column of text of variable sizes.
 5    Assume a single uniform block of vertically aligned text.
 6    Assume a single uniform block of text.
 7    Treat the image as a single text line.
 8    Treat the image as a single word.
 9    Treat the image as a single word in a circle.
10    Treat the image as a single character.
11    Sparse text. Find as much text as possible in no particular order.
12    Sparse text with OSD.
13    Raw line. Treat the image as a single text line, bypassing hacks that are Tesseract-specific.

1. 1. 1. 결과 향상시키기

* 300DPI이미지 사용하기