#ocr engine

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.

In most of states of America, foreign people can use the driver’s license that issued by their own country to apply an American driver’s license. For example, in California, there have more than half million of Chinese, a lot of new immigrants bring their Chinese driver’s licenses to the department of motor vehicle (DMV) to get new licenses. Normally, the DMV staff only validate the foreign license’s expiration date and then make a copy of that before issuing the new license. This process let new comers feel very convenient, but there has some loophole in the licenses’ management. The staff is unable to verify the license is real or not, and they cannot check the applicant’s driving records. These are the issues that need to be improved. Yunmai Driver’s License OCR SDK can help DMV to fixed the problem, the OCR engine is provided for developer to integrate into a management system, and create a feature of smartly reading Chinese driver’s license. The recognition SDK is able to extract the license information by capturing instead of manually typing, as you know, few DMV staff can type Chinese. This technology would make the DMV fast obtain the digital information of foreign driver’s licenses, so that they are able to request some required information from the related issuing department. Yunmai Driver’s License OCR SDK is developed by Yunmai Technology Company, the OCR engine is tailored for recognizing Chinese driver’s license. The recognition accuracy rate reach 99%, and the engine processing time is about1 second. If the developers want to apply this technology into the management system of DMV to recognize Chinese licenses, Yunmai Driver’s License OCR engine is good choice, it will save much time for them on developing.

Programming language supported The SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.

Optical Character Recognition (OCR) is usually used for digitizing paper document. this technology has been widely applied in data entry at business offices and government bureaus. Yunmai Document OCR SDK is a character identification engine for document recognition, which is developed by Yunmai Technology company. This OCR SDK recognizes more than 14 languages, it has advantage of identifying the characters of English, European and Chinese, the accuracy rate might reach 99%. Docs Matter is one of the mobile applications that is integrated with Yunmai Document recognition engine, the app achieves high recognition accuracy, and has gained large number of users. The Yunmai Document OCR SDK is able to convert printed document to editable PDF file. This feature let us conceive an idea of cloning an electric version library. As you know, e-library is more convenient than traditional library, it allow readers access the required information anytime and anywhere. The physical library always store thousands of books, though most of them have computer management, but it is not easy to find some small articles or chips from the great book house. If integrate Yunmai Document OCR engine into a software to convert a paper book to PDF file by capturing, the engine would recognize the text on the image captured and make a searchable PDF file. So that readers can find any content by keyword search, it will make a library more valuable and serve more people.

How the OCR engine works - Get image - Blur detection - Text lines segmentation - Chracters segmentation - Chracter feature extraction - Chracters matching - Handling End of line - Automatic words segmentation - Chracters detection

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.

Optical Character Recognition (OCR) has been widely applied in data entry. This technology is able to retrieve text form images, so that some developers add OCR to some software to create a fast data entry feature, which is extracting characters from paper document by capturing. Some companies always receive a lot of invoice every day, they need staffs to manually enter data to their information system, obviously, it will cost too much labor. The OCR technology bring innovation on the invoices data entry. Kofax company has developed KTM (Kofax Transformation Module) to enable users configure an invoice template, and then automatically transfer paper invoice data into a management system. The KTM is a big system, its function is more than the invoice recognition. But some company only require the feature of smart data entry for invoice, if they use Kofax system, they need to pay a huge amount for the software. Yunmai company is an OCR SDK provider, the company has developed more than ten different OCR engines. Yunmai Document OCR SDK is one of the engines, developer can use this SDK to make invoice recognition software. Normally, invoice information include company name, contact information, price, amount, item name, item description, quantity, etc. Developer need to create a template which divides the invoice into several parts, each part only contains one type of information. Use Yunmai Document OCR SDK to recognize different areas by associated parameter configuration. If a software is to match the demand of some company’s great volume of invoices data entry, Yunmai Document OCR engine is a good choice for developers.

Demo application of Yunmai Document OCR SDK Docs Matter - Mobile Scanner

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 information is for reference: 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.

Optical Character Recognition (OCR) is a technology that recognize the text on the image. In the beginning, some people attempt to create an electric “eye” for blind and visually impaired, this vision lead to the development of OCR SDK. Now this technology has been widely applied in various industries. For example, the financial staff use invoice scanner to input data, business man use business card reader to collect contact information, polices apply OCR for car plate recognition. More and more software supplier wish to add the recognition feature into software in order to enhance competitive for their system.

How to obtain the OCR feature? To develop an recognition engine? It will take long time and cost a lot of money. If you can get an existing OCR SDK and apply it into your system, you could create the OCR feature for you software within a short while, and spend less money in the development. Yunmai Technology Company is a supplier of OCR SDKs, the company focus on the development of object-oriented OCR engines, and has developed many kind of OCR SDKs, which are target on paper document, business card, bank card, ID card, license, etc. Further more, the company has created Yunmai SaaS system, which provide cloud OCR engine for developers, this system make users easier to get the OCR SDK they need.

So far the Yunmai OCR SDKs have been applied by many industries, such as telecom, government office, public security, and some IT companies. Docs Matter and Bizcards Matter are the mobile applications that are integrated with Yunmai recognition engines, both applications have more than a million users.

Yunmai OCR SDKs are high speed and high accuracy engines. Regularly, to recognize a page of 800-words paper document, the engine processing time is less than 7 second, the accuracy rate is more than 92%; for business card, ID card and licenses, the recognition time is within 1 second, and the accuracy is over 95%.

Most of the OCR SDKs are able to recognize English, Chinese (Simplified, Traditional), Japanese, Korean, Russian, German, French, Italian, Spanish, Portuguese, Swedish, Danish, Norwegian, Finnish, and Dutch.

List of Yunmai OCR SDKs Document OCR SDK Business Card OCR SDK Banking Card Recognition SKD Chinese Citizen ID Card OCR SDK Chinese Car Registration OCR SDK Chinese Driver’s License OCR SDK Passport Recognition SDK Car Plate Recognition SDK

Site to download demo products of Yunmai OCR SDKs http://www.yunmai.com/en/download_apps.html

OCR (Optical Character Recognition) is a technology that enables scanned documents and images to be transformed into searchable and editable document formats, and it has been used by lots of industries. For developers, OCR SDK (Software Development Kit) allows them to easily embed high-quality optical character recognition functionality in their products. Yunmai Technology is a professional developer for OCR SDK. It has developed several SDKs for developers, such as Document Recognition, Business Card Recognition, Banking Card Recognition, Car Plate Recognition, Driver's License Recognition and Chinese Citizen ID Card Recognition SDK. Chinese Citizen ID Card Recognition SDK is dedicated to recognize Chinese Citizen ID Card and retrieve information from it. For some multinational corporation enterprises and immigration agencies, they need to record the ID card information of some Chinese people. If there is no staff who is Chinese or can read and retype Chinese, there is a problem for them to make a digital copy of ID Card. Integrating Chinese Citizen ID Card Recognition SDK into an application can help those enterprises and agencies solve the Chinese characters entry problem. They just need to capture ID card with their mobile camera's device. The application will automatically recognize the ID card and extract text within it. The Chinese Citizen ID Card information will be saved into their database.

The process of OCR engine - Get image - Blur detection - Text lines segmentation - Characters segmentation - Character feature extraction - Characters matching - Handling End of line - Automatic words segmentation - Characters detection

Accuracy rate and OCR engine efficiency (reference) - ID card recognition accuracy The average recognition accuracy rate for the Chinese citizen ID card is 98%. - OCR SDK efficiency The engine process recognizing a Chinese citizen ID card will take about 0.2 seconds for average.

Programming language supported The BCR SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.

OCR SDK (Optical Character Recognition Software Development Kit) is also called OCR engines which do the actual character recognition. Optical Character Recognition, as a technology to enable scanned documents and images to be transformed into searchable and editable document formats, has been used by lots of industries. For developers, integrating the OCR SDK into the software can help them develop applications which have recognition function. The SDK can be integrated into mobile application or PC software. Yunmai Technology is a professional developer of Optical Character Recognition SDK. It has been one of the best mobile OCR technology and application developers in the industry. Yunmai Technology provides Document Recognition, Business Card Recognition, Car Plate Recognition, Driver's License Recognition, Chinese Citizen ID Card Recognition and Banking Card Recognition SDK. With Document OCR technology, the application developers develop is able to capture pictures by mobile device's camera. Secondly, it can extract texts within images with its build-in OCR engine. Document OCR technology can be used to significantly improve the productivity and lower the costs of managing the paper produced by students. For students, they always have lots of paper documents during their studies, such as tests, examinations, reports and reference. Although they may have sorted out the documents and put them on the right place, it may still take a few minutes for students to find a particular document they need. When they read books in library, they may find something you need from books. In order to save it, they may write it down on your notebook or take notes on the books. Developing an application with OCR technology so that students can capture the document with the mobile camera's device. The application will automatically retrieve texts within document pictures. They can get the reference without having to retype it. Besides, they can search for the document they want at all time by entering few keywords.

Document Recognition SDK supported languages: Able to recognize documents in the following languages: English, Simplified Chinese, Traditional Chinese, French, Spanish, German, Italian, Portuguese, Dutch, Danish, Swedish and Finnish.

Character recognition results The following are the average recognition accuracy for the different languages: English characters: 97% Chinese characters: 92% European characters: 99%

Character recognition speed: Average time for recognition of a document less than 6 seconds; 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.

Now social network become more and more important in people’s life, it help us collect a lot of friends and come closer with them. The rich network bring us great information benefits, we can get some knowledge that we never know, and we can obtain some import message we need, such as job opportunity, something on sales, and traveling experience. There have some popular communication tools like facebook, linkedin and twitter. Many people create their social network through these platforms, for the tools help them instantly communicate with their friends, and share something with others. However, the business cards are till popular in people’s life, especially on business behave, people always use paper business cards to exchange their personnel information. Some cards contain 2-D barcode, and we can easily scan the code to fast enter the information and add the card owner to our friend list. But most of the cards do not have 2-D barcode, how to quickly save the information? The Yunmai Business Card Recognition SDK can do that. This (Optical Character Recognition) OCR engine is special for reading business card, it is able to extract a business card information form the card image within 1 second, and the recognition accuracy rate reach 99%. It can be integrated with PC software and mobile applications. As long as the software obtain the image of the card, the Yunmai Business Card Recognition engine will read the card information. Therefore it is good choice for developers to use this OCR SDK to add business card recognition feature into their software.  

The process of OCR engine - Get image - Blur detection - Text lines segmentation - Chracters segmentation - Chracter feature extraction - Chracters matching - Handling End of line - Automatic words segmentation - Chracters detection

Accuracy rate and OCR engine efficiency (reference) - Character recognition accuracy The following are the average recognition accuracy for the business cards of different languages: English characters: 97% European characters: 89% Chinese characters: 95% These data are obtained on recognizing different format and font size business cards. - BCR engine efficiency The engine process the business card recognition will take about 0.6 seconds for PC per card for average.

Programming language supported The BCR SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.