Image Processing using Machine Learning
Rahul Garg
, Pranjal Pathak , Abhinav Trivedi , Aman Raj , Priyanka Paygude
pattern recognition, handwritten recognition, digit recognition, machine learning, classification algorithms
The paper basically describes the anomaly of demonstrating the mathematical methods and the algorithm required for their recognition. The use of handwritten mathematical symbols and equations has guard a lot of attention and consolidation in the field of pattern recognition. With the invention of new and advanced algorithm for the identification of the handwritten characters, now and more heterogeneous handwritten digits data set appears into sight. But the problem lies in the behavior of those handwritten data sets. For deciphering the drawback that handwritten digit data set of different feature can’t compute, we design a more sophisticated handwritten digit representation model based on multiple instance learning(MIL), where a bag contain different digit data from different feature spaces. This paper consist of different approaches to an off line pattern recognition using different machine learning techniques. Several machine learning algorithms like Multilayer Perception, Support Vector Machines, Convolutional Neural Networks, and many more. The main purpose or objective is to recognize the effective and efficient method for recognition of the pattern. The paper shows different classification algorithms have their different accuracy. The process of identification of the symbol and different numbers are generally based on the methods of machine learning. For the initial initialization of the symbols a segment binary image passes a “rough” classification by the Bayesian Network Neural Network are also used for classification using contents.
"Image Processing using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.471 - 477, September-2020, Available :https://ijsdr.org/papers/IJSDR2009078.pdf
Volume 5
Issue 9,
September-2020
Pages : 471 - 477
Paper Reg. ID: IJSDR_192517
Published Paper Id: IJSDR2009078
Downloads: 000347283
Research Area: Engineering
Country: Bhiwani, Haryana, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
