Investigation of Machine Learning Algorithms for Pattern Recognition in Image Processing

In order to recognize patterns in images, this study tests the performance of many "machine learning algorithms" and feature extraction methods. Here, synthetic photographs of handwritten digits are used to compare the performance of four machine learning methods ("deep learning, supp...

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Vydané v:	2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) s. 898 - 904
Hlavní autori:	Kate, Chennaiah, Kalpana, C., Sharma, Arvind, Yadav, Ajay Singh, Kumar, Ashok, Kumar, S. Sandeep
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 03.08.2023
Predmet:	"decision trees" "random forests" "support vector machines" computer vision Deep learning evaluation metrics feature extraction Forestry Handwriting recognition Histogram of Oriented Gradients Histograms image processing Image recognition Machine learning Machine learning algorithms pattern recognition raw pixel values synthetic images transfer learning
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