Open main menu
Home
Random
Recent changes
Special pages
Community portal
Settings
About Stop Synthetic Filth! wiki
Disclaimers
Stop Synthetic Filth! wiki
Search
User menu
Talk
Contributions
Log in
Editing
Synthetic human-like fakes
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== Handwriting syntheses == Handwriting syntheses could be used # Defensively, to hide one's handwriting style from public view # Offensively, to thieve somebody else's handwriting style If the handwriting-like synthesis passes human and media forensics testing, it is a '''digital handwrite-alike'''. Here we find a '''risk''' similar to that which realized when the '''[[w:speaker recognition]] systems''' turned out to be instrumental in the development of '''[[#Digital sound-alikes|digital sound-alikes]]'''. After the knowledge needed to recognize a speaker was [[w:Transfer learning|w:transferred]] into a generative task in 2018 by Google researchers, we no longer cannot effectively determine for English speakers which recording is human in origin and which is from a machine origin. '''Handwriting-like syntheses''': [[w:Recurrent neural network]]s (RNN) seem are a popular choice for this task. * [https://github.com/topics/handwriting-synthesis GitHub topic '''handwriting-synthesis'''] has 29 public repositories as of September 2021. * [https://github.com/topics/handwriting-generation GitHub topic '''handwriting-generation'''] has 21 public repositories as of September 2021. * [https://www.sciencedirect.com/science/article/abs/pii/S0031320319303814 '''''Deep imitator: Handwriting calligraphy imitation via deep attention networks'''' at sciencedirect.com], published in [[w:Pattern Recognition (journal)]] in August '''2020'''. * [https://greydanus.github.io/2016/08/21/handwriting/ '''Scribe''' - ''Generating Realistic Handwriting with TensorFlow'' at greydanus.github.io] blog post published on '''2016'''-08-21. [https://github.com/greydanus/scribe '''Scribe code''' at github.com] * [https://dl.acm.org/doi/10.1145/2886099 '''''My Text in Your Handwriting''''' at dl.acm.org], a system from [[w:University College London]] published on '''2016'''-05-18 in [[w:ACM Transactions on Graphics]].<ref group="1st seen in">https://www.ucl.ac.uk/news/2016/aug/new-computer-programme-replicates-handwriting via Google search for "ai handwriting generator"</ref> * [https://arxiv.org/abs/1308.0850 '''''Generating Sequences With Recurrent Neural Networks''''' at arxiv.org] by Alex Graves published on '''2013'''-08-04 in Neural and Evolutionary Computing. :#[https://www.cs.toronto.edu/~graves/handwriting.html '''''Recurrent neural network handwriting generation demo''''' at cs.toronto.edu] is a demonstration site for publication :# [https://www.calligrapher.ai/ '''Calligrapher.ai''' - ''Realistic computer-generated handwriting''] - The user may control parameters: speed, legibility, stroke width and style. The domain is registered by some organization in Iceland and the website offers no about-page<ref group="1st seen in">https://seanvasquez.com/handwriting-generation redirects to Calligrapher.ai - seen in https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/</ref>. According to [https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/ this reddit post] Calligrapher.ai is based on Graves' 2013 work, but "''adds an [[w:inference]] model to allow for sampling latent style vectors (similar to the VAE model used by SketchRNN)''".<ref>https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/</ref> ''' Handwriting recognition ''' * '''[[w:Handwriting recognition]]''' ('''HWR'''), also known as '''Handwritten Text Recognition''' ('''HTR'''), is the ability of a computer to receive and interpret intelligible [[w:handwriting|w:handwritten]] input (Wikipedia) * '''[[w:Intelligent word recognition]]''', or '''IWR''', is the recognition of unconstrained handwritten words.<ref> {{Cite web |url=https://www.efilecabinet.com/what-is-iwr-intelligent-word-recognition-how-is-it-related-to-document-management/ |title=What is IWR? (Intelligent Word Recognition) |date=2016-01-04 |website=eFileCabinet |language=en-US |access-date=2021-09-21 }} </ref> (Wikipedia) * [https://github.com/topics/handwriting-recognition GitHub topic '''handwriting-recognition'''] contains 238 repositories as of September 2021.
Summary:
Please note that all contributions to Stop Synthetic Filth! wiki are considered to be released under the Creative Commons Attribution-ShareAlike (see
SSF:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:
Cancel
Editing help
(opens in new window)