Recognition and Extraction of Banking Data using OCR
- Resource Type
- Conference
- Authors
- Sharma, Manish Kumar; Sharma, Tulika; Gupta, Muskan; Shivanshdeep
- Source
- 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Advances in Computing, Communication Control and Networking (ICAC3N), 2021 3rd International Conference on. :472-475 Dec, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Integrated optics
Training
Databases
Process control
Banking
Transforms
Writing
character recognition
feature extraction
HMM
image classification
image processing
image segmentation
neural network
pattern recognition
text recognition
- Language
The procedure of reserving data from bank records into the bank database is a long and an erroneous chore. In this module we suggest a structure that examines bank records and withdraws data from them in the form of text which can additionally be reserved in the bank dataset easily.In the system suggested, the attributes of every character written in the data inputted are drawn out and then transferred towards the neural network. Texts containing datasets that are put in writing by various persons are brought to use to teach the system. The identification system proposed provides great levels of accuracy in comparison to the already existing approaches in this field. This structure can efficiently identify texts and transform them into structural form which can be effortlessly stored and organized.