An Image-based Intelligent System for Data Extraction

  • Shawn Louis
  • Piyush Sonar
  • Priya Kaul
Keywords: Image processing, Machine Learning, Neural Network


Automation is the process of providing goods and services with fewer to no human interventions. The major advantage of automation is reduction in human error. The system proposes to extract data from images that are tilted at different angles and noisy. The system reduces human error by storing the data directly in the database. The proposed system will take image input from the user through a user interface. This interface is a web application. The input image is pre-processed and forwarded to a machine learning model. The machine learning model is trained and tested using a character data set and convolutional neural network. The model will detect the characters and will give the output as recognized text. This output will be automatically stored in the database and shared with the user through the same interface.


[1] M. Geetha, R C Pooja, J. Swetha, N. Nivedha, T. Daniya. (2020). Implementation of Text Recognition and Text Extraction on Formatted Bills using Deep Learning. International Journal of Control and Automation, 13(02), 646 - 651. Retrieved from
[2] Mande Shen and Hansheng Lei, "Improving OCR performance with background image elimination," 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015, pp. 1566-1570, doi:
[3] Tran Duc Duan, Duong Anh Duc and Tran Le Hong Du, "Combining Hough transform and contour algorithm for detecting vehicles' license-plates," Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004., 2004, pp. 747-750,
[4] B. Tejas, D. Omkar, D. Rutuja, K. Prajakta and P. Bhakti, "Number plate recognition and document verification using feature extraction OCR algorithm," 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), 2017, pp. 1317-1320,
[5] Cerman M., Shalunts G., Albertini D. (2016) A Mobile Recognition System for Analog Energy Meter Scanning. In: Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science, vol 10072. Springer, Cham.
[6] Karthick Kanagarathinam, Kavaskar Sekar, Text detection and recognition in raw image dataset of seven segment digital energy meter display, Energy Reports, Volume 5, 2019, Pages 842-852, ISSN 2352-4847,
[7] J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73..
[8] Lovell, T., & Litwhiler, D. (2006, June), Teaching A Computer To Read: Image Analysis Of Electrical Meters Paper presented at 2006 Annual Conference & Exposition, Chicago, Illinois. 10.18260/1-2--324.
[9] Ideal, “A How-To Guide For Using A Recruitment Chatbot”,, 2020 (last accessed: Dec 2020).
How to Cite
Louis, S., Sonar, P., & Kaul, P. (2022). An Image-based Intelligent System for Data Extraction. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 8(2), 1-4.

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