Better Recognition Tips Using ABBYY Mobile SDK - iphone

I've been working with ABBYY Mobile SDK for iPhone for sometime to recognize Chinese characters using the iPhone's camera. There are some characters that no matter how I tweak the image or DPI settings with the line [fineManager setDefaultImageResolution:dpi];, I cannot get the correct result and it's pretty damn frustrating.
Does anyone have tips as to how to increase ABBYY accuracy? Is ABBYY's Chinese library just not very extensive?
For example, this character just never gets recognized properly:
Thanks for any tips.

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Tesseract limitation for iPhone iso ? any other OCR engine for ios

i want to use Tesseract for my iphone app for OCR, but its not recognise the low resolution image text, so whats the limitation of Tesseract OCR for iPhone SDK
Please refer Real TIme Image Processing (OCR)
Abbyy cloud is an cloud service for doing OCR online.
Tesseract works great on iOS. The hardest part is installation.
Here is a sample project that uses it on github:
https://github.com/AdamGluck/split
(Disclosure, this is a project I worked on for fun. However, it implements tesseract for iOS.)
We used this framework:
https://github.com/ldiqual/tesseract-ios
I'll note that we got better results when we made the image a sharper black and white (in the project). Although this was not that necessary to get good results.

Getting an editable text from UIImage of text in Xcode

I want to develop an application in which I capture an image of text (a business card, for example), and now I want it to be scanned and converted into an editable text. Is it possible? Something like optical character recognition.
Here are some examples
OpenCV library for Apple iOS. It includes two XCode projects: one for iPhone, the other one for iPad Try OpenCV with iOS
demo application that utilizes the Tesseract library as a static library compiled under Mac OS 10.6 Try Tesseract with iOS
And Here is good question realte to this.
Hope this information should be useful for you.
Thanks

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I asked a friend about your icon issue and he had me look into a popular emoticon plugin for iOS devices. Sure enough, after browsing through the icons, there was the small boar's head you are talking about.
The plugin is called Emoji and it essentially adds an extra keyboard to iOS Messages app. It's a possibility that the users who have reported this issue to you have that plugin installed on their devices? This might be where the icon is coming from. Let me know if you need any more information on this problem. I hope you are able to solve it!

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Thanks in advance!
You can have a look at the tesseract-ocr project. It's not actually made to use on an iPhone but I believe others have made great use of it on the iPhone.
Here is a demo that makes use of the tesseract ocr engine.
I was looking for something similar and came across ABBYY's mobileOCR solution
I've not used it yet and have no idea how much it is but you should be able to integrate it into your app by all accounts.
I have this in my bookmarks: http://code.google.com/p/zxing/
It has iPhone, Android and Java code to deal with image capture and bar codes.
I haven't test it yet.
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Any open source /free OCR(Pattern recognition) software? (for mobile platforms?)

I want to extract the text information (Chinese) from the images that picked by users with their mobiles. So I am here wondering is there any open source/free OCR (Pattern recognition) software for mobile platform. Currently I am doing with iPhone (And android, blackberry platform?)
I've searched stackoverflow but seems there only are some questions about C#/.Net
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If you're into writing your own solution, this paper seems to be applicable.
ABBYY even has a mobile OCR SDK for iPhone, Android, and more, so you can recognize text on your device before using web services, at all: http://www.abbyy.com/mobileocr/
However, it is not free and you will have to buy a license for commercial purposes.
GrayWizardx is right there are few servers that provide this kind of services like kooaba
And may be it will be a bad idea to re-invent the whole wheel