ocr

OCR Parsing get checkbox or Radiobutton value

由 爱⌒轻易说出口 提交于 2019-12-22 19:31:29
问题 I need to parse OCR image file and get all texts and checkbox values, How to get Checkbox or Radio Button value from OCR Parsing and Which one OCR Api is give corrected result extract from image. 回答1: Check-box values can be read by specialized OMR software, not OCR. OCR stands for Optical CHARACTER Recognition, and checkmark is not a character, but a compound object consisting of base checkmark object and some kind of mark on top of it. OCR cannot provide a singe ASCII value for such

用百度AI的OCR文字识别结合JAVA实现了图片的文字识别功能

由 删除回忆录丶 提交于 2019-12-22 19:30:10
第一步可定要获取百度的三个东西 要到百度AI网站(http://ai.baidu.com/)去注册 然后获得 -const APP_ID = '请填写你的appid'; -const API_KEY = '请填写你的API_KEY'; -const SECRET_KEY = '请填写你的SECRET_KEY'; 第二步下载SDK https://github.com/jankinsun/New/tree/master/OCR/character_recognition 或者使用官方的 http://ai.baidu.com/sdk 下载 第三步 然后就直接运行demo 的文件 General.java中的main()函数就可以了 返回的数据是 OK，识别完成 来源： https://www.cnblogs.com/qianzf/p/7838770.html

OCR训练文本生成工具

由 岁酱吖の 提交于 2019-12-22 18:38:12
原项目地址： https://github.com/Sanster/text_renderer 我做的一些功能扩充后项目地址： https://github.com/SeventhBlue/textGenerationTool 1、如何使用 进入工程目录，直接运行main.py，就会生成相应的数据。 2、需要根据自己需求更改的设置 2.1、parse_args.py 这个文件是运行的默认参数设置。其中最可能的需要更改的有，生成样本的数量、生成样本时保存的路径、以及生成样本时是随机字符还是带有语义的文本信息等。 2.2、default.yaml 这个文件比较重要。里面涉及的都是把图片设置成什么样的数据。 2.3、./data/bg/ 这个文件下是文本图片的背景颜色设置。添加什么图片，训练数据就会有什么样的图片。如果添加了背景图片，但是训练样本图片却没有对应的效果。有两种可能。 第一种可能，在default.yaml文件中下面这个参数设置为false img_bg: enable: false fraction: 0.8 第二种可能，只生成黑白图片。下面两个参数设置成false了。 font_color: enable: false blue: fraction: 0.1 l_boundary: [0,0,150] h_boundary: [60,60,255] brown:

Pass in OpenCV image to KNearest's find_nearest

由 霸气de小男生 提交于 2019-12-22 15:59:09
问题 I've been following the examples here on setting up Python for OCR by training OpenCV using kNN classification. I followed the first example and generated a knn_data.npz that stores the training data and the training labels for later. What I'm trying to do now is to recall that training data and apply it to an OpenCV image that has a single character inside of it: # Load training data trainingData = np.load('knn_data.npz') train = trainingData['train'] trainLabels = trainingData['train_labels

How can I compare two images for similarities (Not exact matches with MD5)?

由 天大地大妈咪最大 提交于 2019-12-22 09:59:57
问题 How can I take two images and compare them to see how similar they are? I'm not talking about comparing two exact images using MD5. The two images that I am comparing will be completely different, as well as likely different sizes at times. Using Pokemon cards as an example: I'm going to have scanned HD images of each of the cards. I want the user to be able to take a picture of their Pokemon card with their phone and I want to be able to compare it against my scanned images and then

OCR - how to get text from outlined words

由 一曲冷凌霜 提交于 2019-12-22 08:28:07
问题 I have an image of text, where the words are outlined rather than filled in. Tesseract is struggling to get any of the words correct - does anyone have a solution to these types of problems? I have tried simple operations like inversion, but to no affect. I'm guessing tesseract already handles this. Img example: Typical output for Next: New Typical output for Previous: Pflevuows (my very simple) Code, takes the image as an argument: import pytesseract import sys from PIL import Image print

Extract numbers from Image

由 限于喜欢 提交于 2019-12-22 05:53:11
问题 I have an image for mobile phone credit recharge card and I want to extract the recharge number only (the gray area) as a sequence of number that can be used to recharge the phone directly This is a sample photo only and cannot be considered as standard, thus the rectangle area may differ in position , in the background and the card also may differ in size .The scratch area may not be fully scratched , the camera's depth and position may differ too . I read a lots and lots of papers on the

Why can't get string with PIL and pytesseract?

由 笑着哭i 提交于 2019-12-22 04:44:06
问题 It is a simple Optical Character Recognition (OCR) program in Python 3 to get string, I have uploaded the target gif file here, please download it and save it as /tmp/target.gif . try: from PIL import Image except ImportError: import Image import pytesseract print(pytesseract.image_to_string(Image.open('/tmp/target.gif'))) I paste all the error info here, please fix it to get the characters from image. /usr/lib/python3/dist-packages/PIL/Image.py:925: UserWarning: Couldn't allocate palette

Can tesseract be trained for non-font symbols?

由 时光毁灭记忆、已成空白 提交于 2019-12-22 04:38:13
问题 I'm curious about how I may be able to more reliably recognise the value and the suit of playing card images. Here are two examples: There may be some noise in the images, but I have a large dataset of images that I could use for training (roughly 10k pngs, including all values & suits). I can reliably recognise images that I've manually classified, if I have a known exact-match using a hashing method. But since I'm hashing images based on their content, then the slightest noise changes the

Handwritten scanned Doc to .txt File?

由 放肆的年华 提交于 2019-12-21 23:09:35
问题 Are there any JAVA APIs or tools that can convert Handwritten Scanned Doc to txt files? I have tried google tesseract and few other tools , but I am not getting satisfactory results for hand written scanned docs. 回答1: Strange that other answers here are pointing out to OCR tools while question clearly states handwriting recongition. Handwriting is even more difficult area than OCR and number of technologies available is very narrow. I don't think you will be able to find any open source tool
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