Hello Himali Vaghela HoG feature is ok but you might also consider extracting some features using some transfer learning models before applying Decision Tree Classifier on them

Olawale Abimbola Yes sir. But I am just newcomer in this field so I don't know how it works sir if you know can you guide me?

HI Himali Vaghela you can use Keras documentation as a guide.

And i think you will need to read more on how the feature extraction works.

Follow this Keras documentation (https://keras.io/api/applications/) for more guide on the image feature extraction using transfer learning.

Best Regards,

Olawale.

@ Olawale Abimbola Ok sir thank you so much for sharing information

You are welcome

hi, decision trees take feature vectors as input. So you have to extract the characters you want from the image according to the information you are looking for there are several methods: co-occurrence matrices, SIFT, HoG, DCT .... And these are the characteristics that you will send the decision tree