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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) S. 898 - 904
Hauptverfasser:	Kate, Chennaiah, Kalpana, C., Sharma, Arvind, Yadav, Ajay Singh, Kumar, Ashok, Kumar, S. Sandeep
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 03.08.2023
Schlagworte:	"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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!