Which library is best for OCR?

7 Options Considered

Can OCR detect images?

Optical Character Recognition (OCR) The Vision API can detect and extract text from images. There are two annotation features that support optical character recognition (OCR): TEXT_DETECTION detects and extracts text from any image. For example, a photograph might contain a street sign or traffic sign.

Is Tesseract open source?

Tesseract is an open source text recognition (OCR) Engine, available under the Apache 2.0 license. It can be used directly, or (for programmers) using an API to extract printed text from images. It supports a wide variety of languages.

Does OpenCV have OCR?

OpenCV package is used to read an image and perform certain image processing techniques. Python-tesseract is a wrapper for Google’s Tesseract-OCR Engine which is used to recognize text from images. Download the tesseract executable file from this link.

Can OpenCV detect text?

The opencv module for text detection also comes with text recognition that implements tessaract, which is a free open-source text recognition module. The downfall of tessaract, and therefore opencv’s scene text recognition module is that it is not as refined as commercial applications and is time consuming to use.

Which of the following DNN libraries can OpenCV use?

OpenCV supports Deep Learning frameworks Caffe, Tensorflow, Torch/PyTorch. With OpenCV you can perform face detection using pre-trained deep learning face detector model which is shipped with the library.

Is Yolo good for text detection?

There are single-shot detection techniques like YOLO(you only look once) and region-based text detection techniques for text detection in the image. YOLO is single-shot techniques as you pass the image only once to detect the text in that region, unlike the sliding window.

How accurate is Google OCR?

Overall Results. Google Cloud Platform’s Vision OCR tool has the greatest text accuracy by 98.0\% when the whole data set is tested. While all products perform above 99.2\% with Category 1, where typed texts are included, the handwritten images in Category 2 and 3 create the real difference between the products.

What is the best open source library for face detection in images?

GitHub – ShiqiYu/libfacedetection: An open source library for face detection in images. The face detection speed can reach 1000FPS. Failed to load latest commit information. Open Source! update score.

What is the best open source OCR software?

Tesseract is probably the most accurate open source OCR engine available. Combined with the Leptonica Image Processing Library it can read a wide variety of image formats and convert them to text in over 60 languages.

What is east-efficient and accurate scene text detection?

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector. Detect text with stroke width transform. A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).

What is semantic-based scene text detector?

This repository is the official implementation of Semantic-based Scene Text Detector (STD for short), a new scene text detection method, inspired by the idea of CSP, which is used on Pedestrian Detection. Extracting text from images, removing grids from images, removing background and extracting useful text using OpenCV.