Title: Binarize Images for Enhancing Optical Character Recognition
person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jan.wijffels@vub.be', comment = "R wrapper"),
person('Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities', role = 'cph', comment = "R wrapper"),
person('Brandon M. Petty', role = c('ctb', 'cph'), comment = "Files in src/Doxa"))
Description: Improve optical character recognition by binarizing images. The package focuses primarily on local adaptive thresholding algorithms.
In English, this means that it has the ability to turn a color or gray scale image into a black and white image. This is particularly useful
as a preprocessing step for optical character recognition or handwritten text recognition.
Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital
Brandon M. Petty [ctb, cph] (Files in src/Doxa)

Packaged: 2022-08-17 08:41:10 UTC; jwijffels

Title: Image Processing Functionality using the 'dlib' Package
person("Davis E. King", role = c("ctb", "cph"), comment = "Main contributor of dlib - files in inst/dlib"),
person("dlib authors", role = c("ctb", "cph"), comment = "see file AUTHORS"))
Description: Facility wrappers around the image processing functionality of
'dlib'. 'Dlib' <http://dlib.net> is a 'C++' toolkit containing machine learning
algorithms and computer vision tools. Currently the package allows to find feature
descriptors of digital images, in particular 'SURF' and 'HOG' descriptors.
Davis E. King [ctb, cph] (Main contributor of dlib - files in
dlib authors [ctb, cph] (see file AUTHORS)

Title: Convolutional Neural Network for Face Detection
Description: An open source library for face detection in images.
Provides a pretrained convolutional neural network based on <https://github.com/ShiqiYu/libfacedetection> which can be used to detect faces which have size greater than 10x10 pixels.
person("Shiqi Yu", role = c("ctb", "cph"), comment = "libfacedetection C++ code"))
Shiqi Yu [ctb, cph] (libfacedetection C++ code)