A Survey Neural Network Based Efficient Technique For Handwritten Digit Recognition Process
Abstract & Details
Research Area
data mining
Keywords
Artificial neural network (ANN)
Nervous System
Feed forward back propagation neural network
Abstract
Artificial Neural Network (ANN) is concept based on animal nervous system to operation, function and it’s ability to perform the task and learning things. ANN is apply in various fields and application in all over world, and among all one of important is Numbers /Character recognition. The recognition system has neural network as its domain and front end processing handled by image processing to extract scripted number. Handscripted numeric recognition is difficult because of, the writing elegance is differed by person to person. In actual recognition process faces issues like size , shape and stroke of written script. It include two stages 1. Image preprocessing, 2. Applying Neural Network. ANN with Feed Forward Back Propagation Neural network (FFBPNN) is design to identifies the number with forwardly feeded encountered error. In recognition system, numeric letter extract by image preprocessing methods and represented by binary number and then treat as input for FFBPNN.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | abhinav ranjan | srk university |
| 2 | dr dinesh kumar sahu | srk university |
How to Cite
Use the following formats to cite this article in your research.
APA Style
ranjan, abhinav & sahu, dr dinesh kumar (2022). A Survey Neural Network Based Efficient Technique For Handwritten Digit Recognition Process. International Journal of Advance Research and Innovative Ideas In Education, 8(4), 711-716.
MLA Style
ranjan, abhinav, and dr dinesh kumar sahu. "A Survey Neural Network Based Efficient Technique For Handwritten Digit Recognition Process." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, 2022, pp. 711-716.
IEEE Style
abhinav ranjan and dr dinesh kumar sahu, "A Survey Neural Network Based Efficient Technique For Handwritten Digit Recognition Process," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, pp. 711-716, 2022.
Vancouver Style
ranjan abhinav, sahu dr dinesh kumar. A Survey Neural Network Based Efficient Technique For Handwritten Digit Recognition Process. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(4):711-716.
Harvard Style
ranjan, abhinav & sahu, dr dinesh kumar (2022) 'A Survey Neural Network Based Efficient Technique For Handwritten Digit Recognition Process', International Journal of Advance Research and Innovative Ideas In Education, 8(4), pp. 711-716.
Chicago Style
ranjan, abhinav and dr dinesh kumar sahu. "A Survey Neural Network Based Efficient Technique For Handwritten Digit Recognition Process." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 711-716.
Turabian Style
ranjan, abhinav and dr dinesh kumar sahu. "A Survey Neural Network Based Efficient Technique For Handwritten Digit Recognition Process." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 711-716.
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