Optical character recognition - how it works?
I was interested in symbol recognition recently and I start to read about it in the Internet. I got more information about preprocessing and segmentation stages, but all of it is just prestage for transformation from image to string. And all notes from Internet led me to using ready solution, like Tesseract, which do all works behind interface. However, I interested in detailed description of this process and I want to get all steps of this transformation.
Can anybody give me some links to exhaustive literature or articles about this theme? For example, Tesseract image_to_string() function algorithm. I will thankful for any help
image-processing computer-vision feature-extraction
asked Nov 20 '18 at 9:18
Silicon
537
add a comment |
I was interested in symbol recognition recently and I start to read about it in the Internet. I got more information about preprocessing and segmentation stages, but all of it is just prestage for transformation from image to string. And all notes from Internet led me to using ready solution, like Tesseract, which do all works behind interface. However, I interested in detailed description of this process and I want to get all steps of this transformation.
Can anybody give me some links to exhaustive literature or articles about this theme? For example, Tesseract image_to_string() function algorithm. I will thankful for any help
image-processing computer-vision feature-extraction
asked Nov 20 '18 at 9:18
Silicon
537
add a comment |
I was interested in symbol recognition recently and I start to read about it in the Internet. I got more information about preprocessing and segmentation stages, but all of it is just prestage for transformation from image to string. And all notes from Internet led me to using ready solution, like Tesseract, which do all works behind interface. However, I interested in detailed description of this process and I want to get all steps of this transformation.
Can anybody give me some links to exhaustive literature or articles about this theme? For example, Tesseract image_to_string() function algorithm. I will thankful for any help
image-processing computer-vision feature-extraction
asked Nov 20 '18 at 9:18
Silicon
537
I was interested in symbol recognition recently and I start to read about it in the Internet. I got more information about preprocessing and segmentation stages, but all of it is just prestage for transformation from image to string. And all notes from Internet led me to using ready solution, like Tesseract, which do all works behind interface. However, I interested in detailed description of this process and I want to get all steps of this transformation.
Can anybody give me some links to exhaustive literature or articles about this theme? For example, Tesseract image_to_string() function algorithm. I will thankful for any help
image-processing computer-vision feature-extraction
image-processing computer-vision feature-extraction
asked Nov 20 '18 at 9:18
Silicon
537
asked Nov 20 '18 at 9:18
Silicon
537
asked Nov 20 '18 at 9:18
Silicon
537
asked Nov 20 '18 at 9:18
Silicon
537
asked Nov 20 '18 at 9:18
Silicon
537
537
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
The most straightforward way is the github page of Tesseract, especially the Wiki page of Tesseract.
Or if you want to recognize specific symbol, you can make your own recognizer using neural networks, follow this step-to-step tutorial.
answered Nov 21 '18 at 2:38
Ha Bom
6111418
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53389736%2foptical-character-recognition-how-it-works%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
The most straightforward way is the github page of Tesseract, especially the Wiki page of Tesseract.
Or if you want to recognize specific symbol, you can make your own recognizer using neural networks, follow this step-to-step tutorial.
answered Nov 21 '18 at 2:38
Ha Bom
6111418
add a comment |
The most straightforward way is the github page of Tesseract, especially the Wiki page of Tesseract.
Or if you want to recognize specific symbol, you can make your own recognizer using neural networks, follow this step-to-step tutorial.
answered Nov 21 '18 at 2:38
Ha Bom
6111418
add a comment |
The most straightforward way is the github page of Tesseract, especially the Wiki page of Tesseract.
Or if you want to recognize specific symbol, you can make your own recognizer using neural networks, follow this step-to-step tutorial.
answered Nov 21 '18 at 2:38
Ha Bom
6111418
The most straightforward way is the github page of Tesseract, especially the Wiki page of Tesseract.
Or if you want to recognize specific symbol, you can make your own recognizer using neural networks, follow this step-to-step tutorial.
answered Nov 21 '18 at 2:38
Ha Bom
6111418
answered Nov 21 '18 at 2:38
Ha Bom
6111418
answered Nov 21 '18 at 2:38
Ha Bom
6111418
answered Nov 21 '18 at 2:38
Ha Bom
6111418
6111418
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53389736%2foptical-character-recognition-how-it-works%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
