The Yunmai Technology Mobile Imaging SDK provides developers with intelligent tools which can analyze images of documents captured with mobile devices – and then determine if they are suitable for optical character recognition (OCR), or if they should be retaken. It also offers powerful image processing functions that enhance the image quality for better viewing and reading.
Key features of Imaging SDK:
1. Analysis of Images for OCR
Yunmai Technology Mobile Imaging SDK offers innovative features to evaluate the quality of images and determine whether or not a captured document is suitable for OCR.The SDK detects images of insufficient quality using the following three criteria: Blurred images, Uneven lighting and Poor lighting.
With the image analysis feature integrated into an application, users can see in advance if a certain photograph is suitable for OCR or not, thus saving time and optimizing their processes.
2. Enhancement of Image Quality
The Yunmai Technology SDK provides an optimal set of features to address the majority of needs in the area of mobile image processing, such as:
Crop / edge detection,
Image rotation,
Perspective correction (corrects trapezium distortions),
Binarization,
Brightness / contrast adjustment,
Sharpening.
As a result, a user receives images of high visual quality suitable for comfortable scanning and printing out.
3. Image Export
The SDK supports saving of images to compressed JPEG and PNG formats, optimizing the size of the output files and making them ready to be stored or sent to the server.
The Imaging SDK supports the two most popular mobile platforms: PC
2016年6月27日星期一
2016年3月14日星期一
Banking Card Reader - Improve the Efficiency of Bank Cards Data Entry
Banking Card Recognition, developed by Yunmai Technology, is designed for entering a large amount of bank card information, such as bank name, card number and bank card type. With OCR technology, Banking Card Reader will automatically recognize the card picture you captured, then extract the card’s information. People are able to input the card information without having to retype it.
Shopping online through mobile phones is now more and more popular. It is important to simplify mobile operating procedures to promote mobile phone payment. During online shopping, sometimes the users need to input bank card information to pay for goods. It may take a long time for them to retype the card number and other information. Banking Card Recognition will help them reduce mistakes during information entry.
Yunmai Banking Card Reader can recognize many kinds of bank cards, such as printed or pressed card. It has been installed by millions of users for its high efficiency of bank card data entries.For example, for shipping companies, when clients are going to pay for the express fee with bank cards, the staff of the company can use the software to easily scan the bank cards, retrieve the information and get the payment.
Yunmai Banking Card Recognition can also achieve real time card recognition. Users only need to directly point the camera to the card, and the information will be automatically extracted from it.
Banking Card Recognition is widely applied in mobile wallet applications. When registering the account of the mobile wallet, users will need to link up a credit or debit card to use for payments. Take Apple Pay as an example, Apple Pay was launched in 2015. It is a mobile payment and digital wallet service by Apple Inc. Setting up car ds is easy. You can use the iPhone’s camera to capture the info on the front of the card: account number, card holder name, expiration date, then verify your card.
Recognition Accuracy Rate:
The accuracy rate of banking card recognition is higher than 98%.
Recognition Speed:
The average time of a bank card recognition is less than 2.5 seconds.
Related SDK: Banking Card Recognition SDK
A Banking Card Recognition SDK, developed by Yunmai Technology, can be used to scan Bank Card and retrieve info from it. This SDK can be applied to any industries which deal with a lot of Banking Card entries.
Other recognition SDKs we developed:
-Document Recognition SDK
-Business Card recognition SDK
-Chinese citizen ID card recognition SDK
Shopping online through mobile phones is now more and more popular. It is important to simplify mobile operating procedures to promote mobile phone payment. During online shopping, sometimes the users need to input bank card information to pay for goods. It may take a long time for them to retype the card number and other information. Banking Card Recognition will help them reduce mistakes during information entry.
Yunmai Banking Card Reader can recognize many kinds of bank cards, such as printed or pressed card. It has been installed by millions of users for its high efficiency of bank card data entries.For example, for shipping companies, when clients are going to pay for the express fee with bank cards, the staff of the company can use the software to easily scan the bank cards, retrieve the information and get the payment.
Yunmai Banking Card Recognition can also achieve real time card recognition. Users only need to directly point the camera to the card, and the information will be automatically extracted from it.
Banking Card Recognition is widely applied in mobile wallet applications. When registering the account of the mobile wallet, users will need to link up a credit or debit card to use for payments. Take Apple Pay as an example, Apple Pay was launched in 2015. It is a mobile payment and digital wallet service by Apple Inc. Setting up car ds is easy. You can use the iPhone’s camera to capture the info on the front of the card: account number, card holder name, expiration date, then verify your card.
Recognition Accuracy Rate:
The accuracy rate of banking card recognition is higher than 98%.
Recognition Speed:
The average time of a bank card recognition is less than 2.5 seconds.
Related SDK: Banking Card Recognition SDK
A Banking Card Recognition SDK, developed by Yunmai Technology, can be used to scan Bank Card and retrieve info from it. This SDK can be applied to any industries which deal with a lot of Banking Card entries.
Other recognition SDKs we developed:
-Document Recognition SDK
-Business Card recognition SDK
-Chinese citizen ID card recognition SDK
2016年2月26日星期五
Banking Card Recognition SDK for Developers
OCR (Optical Character Recognition) technology is becoming more and more popular in data entry. Nowadays it has been used by lots of companies, including telecom company, social networks, mobile phone manufacturers and more. OCR technology is mainly used to recognize characters in document images or card images, and help people reduce entry time.
Banking Card Recognition SDK, developed by Yunmai Technology, gives their application an easy way to extract data from card images. It can be generally applied to the industries which deal with a lot of bank card information entries. Integrating Banking Card Recognition SDK into your software or application to provide software-based credit card payment solution for people.
Nowadays, more and more people feel like shopping online through mobile phone. In the meantime, it is important to simplify mobile operating procedures to promote mobile phone payment. During online shopping, sometimes they need to input bank card information to pay for goods. It may take longer time for them to retype the card number and other information. They may also make some mistakes during retyping.
Developing an application with OCR technology can help them easily input the card information without having to retype it. They just need to capture the bank card with mobile camera's device. Integrating Banking Card OCR SDK into the software or application will automatically recognize the card and extract the information on it. It can also categorize the content on the card, such as the bank name, the card number and the expiration date.
Demo application of Bank Card OCR SDK
Now the Yunmai has released Bank Card Recognition which is a demo mobile application of bank card OCR SDK, you can go to Yunmai’s product downloads site to get an app for trial.
Accuracy rate and OCR engine efficiency (reference)
- Bank card recognition accuracy
The average recognition accuracy rate for the Banking Card is 99%.
- OCR SDK efficiency
The engine process recognizing a Banking Card will take about 0.15 seconds for average.
Programming language supported
The OCR SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.
Other recognition SDKs we developed
Document OCR SDK
Chinese ID card recognition SDK
Business card recognition SDK
Banking Card Recognition SDK, developed by Yunmai Technology, gives their application an easy way to extract data from card images. It can be generally applied to the industries which deal with a lot of bank card information entries. Integrating Banking Card Recognition SDK into your software or application to provide software-based credit card payment solution for people.
Nowadays, more and more people feel like shopping online through mobile phone. In the meantime, it is important to simplify mobile operating procedures to promote mobile phone payment. During online shopping, sometimes they need to input bank card information to pay for goods. It may take longer time for them to retype the card number and other information. They may also make some mistakes during retyping.
Developing an application with OCR technology can help them easily input the card information without having to retype it. They just need to capture the bank card with mobile camera's device. Integrating Banking Card OCR SDK into the software or application will automatically recognize the card and extract the information on it. It can also categorize the content on the card, such as the bank name, the card number and the expiration date.
Demo application of Bank Card OCR SDK
Now the Yunmai has released Bank Card Recognition which is a demo mobile application of bank card OCR SDK, you can go to Yunmai’s product downloads site to get an app for trial.
Accuracy rate and OCR engine efficiency (reference)
- Bank card recognition accuracy
The average recognition accuracy rate for the Banking Card is 99%.
- OCR SDK efficiency
The engine process recognizing a Banking Card will take about 0.15 seconds for average.
Programming language supported
The OCR SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.
Other recognition SDKs we developed
Document OCR SDK
Chinese ID card recognition SDK
Business card recognition SDK
2016年2月18日星期四
Document OCR SDK
Yunmai Document OCR SDK provides Optical Character Recognition technology for developers. By integrating our recognition SDK, your software is able to extract text from images, and create editable documents. This feature is generally used to manage a large amount of paper documents. The SDK can be integrated into mobile application or PC software.
What the OCR SDK can do
- Extract text from image: Identify the characters on the image and retrieve the text.
- Automatically crop image: Automatically detect document position and trim edges before running the text identification.
- Character suggestion: After the Optical Character Recognition is completed, the engine is able to automatically detect potential errors on the recognition results, and provide characters suggestion and words suggestions. For English, the engine will give both characters and words; for Chinese, Chinese characters will be provided.
- Export to PDF: Export to double-layer PDF file to allow user to search content within the file by typing keyword.
- Auto categorization of images: After scanning images, the engine is able to automatically detect picture type and categorize the images before running OCR. The possible categories are: Business card, ID card, passport, license, text document, landscape, etc.
- Blur detection: Before the text recognition, the engine will analyze the image quality and define whether the picture is blurry or not.
- Image format supported: jpg, png, bmp. The engine supports manual adjustments of the image effects, such as brightness, contrast, color mode, etc.
- Support multiple languages: Simplified Chinese, Traditional Chinese, English, Spanish, French, German, Italian, Portuguese, Swedish, Danish, Norwegian, Finnish and Dutch.
How the text extractor works
Step 1: Capture paper document or import existing image;
Step 2: Crop image, and enhance image effects;
Step 3: Process OCR to extract text from the image;
Step 4: Use character suggestion to correct errors or manually edit the results.
Demo application of Document OCR SDK
Docs Matter - Document ......
Character recognition results
The following are the average recognition accuracy for different languages:
English characters: 97%
European characters: 99%
Chinese characters: 92%
These data are obtained on recognizing an 8 pixel megabytes image of a document with 800 characters, and the font size is 12.
Character recognition speed
The recognition speed is based on hardware and the document captured, the following is an example:
Hardware: 1.7GHz CPU / 1GB RAM smart phone or higher
Capturing object: a paper document with about 800 characters
Recognition speed: OCR process will take about 7 seconds.
Programming language supported
The SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.
Other recognition SDKs we developed
Business card recognition SDK
Bank card recognition SDK
Chinese citizen ID card recognition SDK
What the OCR SDK can do
- Extract text from image: Identify the characters on the image and retrieve the text.
- Automatically crop image: Automatically detect document position and trim edges before running the text identification.
- Character suggestion: After the Optical Character Recognition is completed, the engine is able to automatically detect potential errors on the recognition results, and provide characters suggestion and words suggestions. For English, the engine will give both characters and words; for Chinese, Chinese characters will be provided.
- Export to PDF: Export to double-layer PDF file to allow user to search content within the file by typing keyword.
- Auto categorization of images: After scanning images, the engine is able to automatically detect picture type and categorize the images before running OCR. The possible categories are: Business card, ID card, passport, license, text document, landscape, etc.
- Blur detection: Before the text recognition, the engine will analyze the image quality and define whether the picture is blurry or not.
- Image format supported: jpg, png, bmp. The engine supports manual adjustments of the image effects, such as brightness, contrast, color mode, etc.
- Support multiple languages: Simplified Chinese, Traditional Chinese, English, Spanish, French, German, Italian, Portuguese, Swedish, Danish, Norwegian, Finnish and Dutch.
How the text extractor works
Step 1: Capture paper document or import existing image;
Step 2: Crop image, and enhance image effects;
Step 3: Process OCR to extract text from the image;
Step 4: Use character suggestion to correct errors or manually edit the results.
Demo application of Document OCR SDK
Docs Matter - Document ......
Character recognition results
The following are the average recognition accuracy for different languages:
English characters: 97%
European characters: 99%
Chinese characters: 92%
These data are obtained on recognizing an 8 pixel megabytes image of a document with 800 characters, and the font size is 12.
Character recognition speed
The recognition speed is based on hardware and the document captured, the following is an example:
Hardware: 1.7GHz CPU / 1GB RAM smart phone or higher
Capturing object: a paper document with about 800 characters
Recognition speed: OCR process will take about 7 seconds.
Programming language supported
The SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.
Other recognition SDKs we developed
Business card recognition SDK
Bank card recognition SDK
Chinese citizen ID card recognition SDK
2016年1月19日星期二
Developing a Business Card Reader with BCR SDK
OCR (Optical Character Recognition) technology is becoming more and more popular in data entry. Nowadays it has been used by lots of companies, including mobile company, social networks, mobile phone manufacturers and more. Integrating (BCR) Business Card Recognition SDK which is developed by Yunmai Technology into software will make it have the recognition feature. This powerful SDK enables scanned documents, cards and images to be transformed into searchable and editable formats.
Yunmai Technology Company, a professional developer of Optical Character Recognition SDK, has become one of the best mobile OCR technology developers in the industry. It has developed Business Card Recognition SDK, Document Recognition SDK, Banking Card Recognition SDK and Chinese Citizen ID Card Recognition SDK.
Business Card Recognition SDK provides OCR technology for developers to create applications which are able to smartly read business card. With OCR technology, it is able to extract data from them. It recognizes and extracts fields on the card, such as name, company name, job title, telephone number, fax, email, address.
For businessmen, they may receive a number of business cards during conversations. Some people will manage business cards by putting them into their card holder. However, when they need some business card, they are not able to easily find it among many cards in the holder. Other people prefer to manually type the cards information into mobile phones, which will take much longer time.
Developing a Business Card Reader with BCR SDK will help people well manage their business cards. It is able to easily scan the business cards and extract the contents from them without the need of retyping the information.
Business Card Recognition SDK supported languages
Able to recognize business card in the following languages:
English, Simplified Chinese, Traditional Chinese, French, Spanish, German, Italian, Portuguese, Dutch, Danish, Swedish and Finnish.
Character recognition speed
Average time for recognition of a business card less than 6 seconds;
The recognition speed is based on hardware and the cards captured, the following is an example:
Hardware: 1.7GHz CPU / 1GB RAM smart phone or higher
Capturing object: a paper document with about 800 characters
Recognition speed: OCR process will take about 7 seconds.
Programming language supported
The SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.
Other recognition SDKs we developed
Document Recognition SDK
Bank card recognition SDK
Chinese citizen ID card recognition SDK
Yunmai Technology Company, a professional developer of Optical Character Recognition SDK, has become one of the best mobile OCR technology developers in the industry. It has developed Business Card Recognition SDK, Document Recognition SDK, Banking Card Recognition SDK and Chinese Citizen ID Card Recognition SDK.
Business Card Recognition SDK provides OCR technology for developers to create applications which are able to smartly read business card. With OCR technology, it is able to extract data from them. It recognizes and extracts fields on the card, such as name, company name, job title, telephone number, fax, email, address.
For businessmen, they may receive a number of business cards during conversations. Some people will manage business cards by putting them into their card holder. However, when they need some business card, they are not able to easily find it among many cards in the holder. Other people prefer to manually type the cards information into mobile phones, which will take much longer time.
Developing a Business Card Reader with BCR SDK will help people well manage their business cards. It is able to easily scan the business cards and extract the contents from them without the need of retyping the information.
Business Card Recognition SDK supported languages
Able to recognize business card in the following languages:
English, Simplified Chinese, Traditional Chinese, French, Spanish, German, Italian, Portuguese, Dutch, Danish, Swedish and Finnish.
Character recognition speed
Average time for recognition of a business card less than 6 seconds;
The recognition speed is based on hardware and the cards captured, the following is an example:
Hardware: 1.7GHz CPU / 1GB RAM smart phone or higher
Capturing object: a paper document with about 800 characters
Recognition speed: OCR process will take about 7 seconds.
Programming language supported
The SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.
Other recognition SDKs we developed
Document Recognition SDK
Bank card recognition SDK
Chinese citizen ID card recognition SDK
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