模式recogntion - 万智卡 [英] Pattern recogntion - Magic the Gathering Card
问题描述
我希望能在我的Android创建一个程序（和/或更有可能回服务器）使用摄像头的手机上捕捉卡的图像分解成相应的部分，并利用它们来识别该卡在我自己创造的一个数据库中使用。模式识别是我可以使用帮助。好了，一张卡有一个黑色的边框，一个盒子在与卡的图像，与卡的类型和重新$ P $符号一盒的名字上方psents集它是从，和最终箱多用一些描述性文字。首先，我将承担所有卡遵循的格式。好吧，至少识别卡，我需要确定机顶盒和OCR输入的文本。如果我能匹配中间的方框，将是巨大的象征，但..
I am hoping to create a program on my android (and/or more likely back at the server) to use the camera on the phone to capture an image of the card and break it into the corresponding parts and use them to identify the card to use in a database of my own creation. The pattern recognition is where I could use help. Ok, a card has a black border, a "box" at the top with the name of the card, an image, a box with the type of the card and a symbol that represents the set it was from, and a final box with some more descriptive text. To start with, I will assume all cards follow that format. Ok, at the least to identify that card, I need to identify the top box and OCR the typed text. If I could match the symbol in the middle box that would be great, but ..
任何人都可以点我到任何一个API或文章/书上的理论，我需要code我自己？
Can anyone point me to either an API or article/book on the theory I would need to code it myself?
推荐答案
我要看，如果你真的想知道边框颜色＆放大器; 设置。
I depends if you really want to know the border-color & set.
因为如果你不这样做，你并不真的需要一个工具来识别整卡的图像。 你只需要到OCR卡的名称。
Because if you don't you don't really need a tool to recognise an image of the entire card. You just need to OCR the card name.
您可以使用一个API，像这样的做到这一点：
You could do this using a API like this one:
OCR-IT的云OCR 2.0 API 提供了商业级的高品质的免费 光的利用OCR API没有截止日期。这是普遍的 大学的项目和应用程序的原型，最终 可以切换到较大的付费订阅，但是它可以用于 正在进行的OCR使用需要实现。这可能是因为 接近人们可以得出一个免费的OCR的API，它能够处理质量差 图像和复杂的多语言文本。
OCR-IT OCR Cloud 2.0 API offers a commercial-grade high-quality free light use OCR API without an expiration date. It is popular with university projects and prototyping of applications that eventually may switch to larger paid subscriptions, but it can be used for implementations that require on-going OCR use. This is probably as close as one can come to a free OCR API that can handle poor quality images and complex multilingual text.
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