Camshot-Hand Written Text Recognition and Object Detection Application

Authors

  • Suvarn Badkas  Department of Computer Science Engineering Parul Institute of Technology, Vadodara, Gujarat, India
  • Deep Desai  Department of Computer Science Engineering Parul Institute of Technology, Vadodara, Gujarat, India
  • Harshrajsinh Jadav  Department of Computer Science Engineering Parul Institute of Technology, Vadodara, Gujarat, India

DOI:

https://doi.org//10.32628/CSEIT206282

Keywords:

Text recognition, Object detection, Android, Firebase, ML kit

Abstract

Text recognition is a technology which has ability to recognize text from images automatically developed in computer device. Tremendous demand is seen for storing the information available in physical papers into a storage disks and can be reuse this data by searching process. A simple way is to scan documents and store it as image. But reusing this data is becomes difficult to read contents and search these documents line by line or word by word. Quality of images and font characteristics of paper are main concerns. Computer devices are unable to identify these characters while reading them. Thus, character recognition methods are much needed to identify texts from images which converts paper format to digital format. In this paper we have discuss a method for text recognition from images using google firebase services like ML kit, in particular order of different processing module for better understanding.

References

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  2. Pratik Madhukar Manwatkar, Shashank H.Yadav, “Text Recognition from Images,” IEEE Sponsored 2nd International Conference on Innovations in Information,Embedded and Communication systems (ICIIECS), 2015.
  3. C.P. Chaithanya, N.Manohar, Ajay Bazil Issac, “Automatic Text Detection and Classification in Natural Images,” International Journal of Recent Technology and Engineering (IJRTE), 2019.
  4. Shubham Sanjay Mor, Shivam Solanki, Saransh Gupta, Sayam Dhingra, Monika Jain, Rahul Saxena, “HANDWRITTEN TEXT RECOGNITION: with Deep Learning and Android,” International Journal of Engineering and Advanced Technology (IJEAT), 2019.
  5. Chaitanya R. Kulkarni, Ashwini B. Barbadekar “Text Detection and Recognition:A Review,” International Research Journal of Engineering and Technology (IRJET), 2017.

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Published

2020-04-30

Issue

Section

Research Articles

How to Cite

[1]
Suvarn Badkas, Deep Desai, Harshrajsinh Jadav, " Camshot-Hand Written Text Recognition and Object Detection Application, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.276-282, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT206282