Cloud Based WEB Application Design for Automatic Turkish Business Card Recognition and Its Performance Evaluation

Abstract

In this study, digital-business card holder software was developed that digitally stores physical business cards prepared in Turkish in a cloud-based database. In the proposed software, the information on the physical business card is converted into text by optical character recognition method (OCR) using business card photos, and then the texts obtained with the help of developed algorithms are separated and grouped. Finally, the digitally obtained business card data is stored in the cloud-based database for later use. Considering the Turkish business cards, it is known that there are a wide variety of complex business cards unique to the country as well as the characters specific to the Turkish language. In this context, first of all, a method that correctly recognizes Turkish characters has been determined in the study. Later, name, mobile phone, e-mail address, company title, position and similar meaningful information were separated from the data read. In order to make these decompositions, special methods have been developed for each field and more accurate and meaningful data has been obtained with field-based algorithms. Thanks to the developed cloud-based platform-independent interface, it is possible to access data from more than one device with a single user over the internet. The study also offers a layered service architecture and database infrastructure that can be used by multiple accounts and multiple users connected to it simultaneously from a single platform. In addition, in the analyzes performed with the developed software, it was determined that 15 business cards with different features were read with an accuracy rate of over 80%.

Keywords

• cloud software
• reading business cards
• optical character recognition (ocr)
• tesseract