Non-Invasive Anemia Screening Using Nails and Palms Photos

Mangaras Yanu Florestiyanto, Nandha Juniaroesita Peksi


Anemia is a condition where the hemoglobin level is below standard. Hemoglobin is an iron-rich protein that gives blood its red color and is tasked with helping red blood cells carry oxygen from the lungs throughout the body, including essential body organs such as the heart, kidneys, and other organs. So that if anemia is allowed to drag on, it will interfere with the function of these organs and cause various kinds of diseases.This study applies the Naive Bayes method to detect anemia using digital images of the nails and palms as parameters. The image processing method used in this research is image segmentation in digital images of nails and palms so that they are separated from the background using the threshold method, after which the mean values of Red, Green, Blue, and their standard deviation are found. Furthermore, the value obtained will be processed using the Naïve Bayes classification method to categorize the palm image data entered into the anemia or non-anemia category. The proposed method achieves 90 percent accuracy for the paleness classification of nails and palms pictures. The proposed paleness screening method can be further fine-tuned to identify the intensity of anemia-like pathologies by using a controlled collection of local images that can then be used for potential benchmarking purposes.


anemia, image processing, classification, Naïve Bayes

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Proceeding of LPPM UPN “Veteran” Yogyakarta Conference Series 2020 – Engineering and Science (ESS). 

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.