Search Results for "handwritten recognition"

Knet.jl is a deep learning package implemented in Julia, so you should be able to run it on any machine that can run Julia. It has been extensively tested on Linux machines with NVIDIA GPUs and CUDA libraries, and it has been reported to work on OSX and Windows. If you would like to try it on your own computer, please follow the instructions on Installation. If you would like to try working with a GPU and do not have access to one, take a look at Using Amazon AWS or Using Microsoft Azure. If...

SYSU-OpenEdgeAI Club is a community of geeks who have innovative ideas as well as a great passion for Edge AI technologies. All of our works are open source, and we sincerely welcome all the Edge AI lovers to join us to solve problems and learn! Until 2020-12-27, we have already upload three projects: 1. ov_carplate.zip is a car plate recognition project based on Zedboard Zynq-7000. 2. mnist_hls.zip is a realization of Lenet for MNIST handwritten digit recognition using Vivado hls tool...

Verify authenticity of handwritten signatures through digital image processing and neural networks.

The UpDown Reader software allows for the efficient processing of 50% von Frey thresholds based on the up-down method for 2 species (mouse, rat) and 2 forms of stimulus (plantar, visceral). Templates for each species are provided along with the application. Given a PDF input, the software identifies and extracts the grid of von Frey assessment tables, recognizes the handwritten sequences entered in each of them, and computes the 50% response thresholds according to the selected species...

QJDicExample is an Japanese to English and English to Japanese dictionary featuring words/names/kanji/sentences search. QJDicExample uses JMdict, JMnedict, Kanjidic2, Radkfilex, KanjiVG, Tanaka Corpus / Tatoeba databases for translations and zinnia recognition library for handwritten kanji recognition. Latest source code: git clone git://git.code.sf.net/p/qjdicexample/code qjdicexample-code

... with training set. The words in training and testing set have a few intersections. It is designed for training and testing recognition systems for handwritten Mongolian words. The MHW-database is available for the purpose of research. usage instructions given at https://sourceforge.net/p/mongolian-hw/wiki/Home/

This paper represent a development and deployment and/or Implementation of Optical Character Recognition (OCR) to translate images of typewritten or handwritten characters into electronically editable format by preserving font properties. OCR can do this by applying pattern matching algorithm. The Recognized characters are stored in editable format. Thus OCR make the computer read the printed documents discarding noise. Keywords- Optical Character Recognition, Image convert to character, Image...

The One Cent Recognizer is an easy-to-implement, efficient, and accurate handwritten gesture recognizer. If you would like to cite One Cent in a publication please use: J. Herold and T.F. Stahovich: The 1¢ Recognizer: A Fast, Accurate, and Eas y-to-Implement Handwritten Gesture Recognition Technique. In Proceedings of the 9th Eurographics workshop on Sketch-based interfaces and modeling (New York, NY, USA, 2012), SBIM '12, ACM

Handwritten Digits Recognition On Android

The AK toolkit is another kit for building and use Hidden Markov Models (HMMs). Originally developed for handwritten text recognition (HTR) using Bernoulli HMMs, it also implements diagonal Gaussians and can be used for any other purpose.

UCR is a project name for the development of an handwritten characters in Korean language. The goal is to create a UCR Library for handwriting as well as OCR from off-line, on-line data. And we have a plan to build a UCR library for mobile.

A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java. Other applications which make use of image processing and neural network technique will be published too.