Robust Text Extraction in Images for Personal Event Planner
Lavanya Bhaskar, Rinu Sara Ranjith · 2020
Modern smartphones are having a large number of applications for personal event scheduling. The main mode of input to those applications are text, voice-input from the user or E-Mail updates provided by certain service providers. For certain events, the details of the event would be available as hard copies of different forms like paper print outs, banners and various modes of advertisements. In such cases, the user needs to manually locate the vital information from the image then needs to update his event schedule. To minimize the load on the user, an intelligent personal scheduler has been developed which takes an image input, extracts necessary information from the image and updates the schedule of the user with appropriate alert settings. This paper discusses about an event planner based on image processing and uses Google Calendar for scheduling the events. The application makes use of Optical Character Recognition (OCR) algorithm for identification of text in the images which acts as an input to the scheduler and Google Calendar is used to update the event planner.