Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

The Effects of Segmentation Techniques in Digital Image Based Identification of Ethiopian Paper Currency

Type de record:

paper
Créateur:
Sol
Éditeur:
Institute of Advanced Engineering and Science
Hôte:
Paper and coin are the two most common currencies in all over the world. In Ethiopia also paper and coin currency are used for medium of exchange. This paper presents the comparative study of segmentation techniques towards Ethiopian paper currency classification. Otsu, FCM and K-means segmentation techniques are considered for this study and BPNN is used for classification of currencies. For the classification, images are collected from commercial bank of Ethiopia and Dashen Bank; for our data set, a total of 500 images samples were collected. From these images, 91.2% accuracy is achieved when Otsu segmentation is used on BPNN with TANH learning function.

Visit

doi.org

Tasks

computer visionimage classification

Languages

Amharic

Licenses

http://creativecommons.org/licenses/by-nc-nd/4.0

Similaires

Identification of Selected Ethiopian Traditional Medicinal Plants Using Digital Image Processing and Deep Learning TechniquesAutomatic Recognition and Counterfeit Detection of Ethiopian Paper CurrencyAntibiotic Susceptibility Pattern of Bacterial Pathogens Isolated from Ethiopian Paper Currency Notes in Wolaita Sodo, Southern EthiopiaDeveloping an Assistive Technology for Visually Impaired Persons: Ethiopian Currency IdentificationGrading Ethiopian Coffee Raw Quality Using Image Processing Techniques.An image-based Plant identification platform for thousands of species

Identification of Selected Ethiopian Traditional Medicinal Plants Using Digital Image Processing and Deep Learning Techniques

Abstract Ethiopia is rich in biodiversity, and its vast landscape offers a variety

Automatic Recognition and Counterfeit Detection of Ethiopian Paper Currency

Antibiotic Susceptibility Pattern of Bacterial Pathogens Isolated from Ethiopian Paper Currency Notes in Wolaita Sodo, Southern Ethiopia

The present study was conducted to isolate pathogenic bacteria and their antimicrobial resistance pa

Developing an Assistive Technology for Visually Impaired Persons: Ethiopian Currency Identification

Grading Ethiopian Coffee Raw Quality Using Image Processing Techniques.

Abstract Coffee is a beverage obtained from cherry, the fruit of coffee plant. Grading ser

An image-based Plant identification platform for thousands of species

National audience Pl@ntNet is a large-scale participatory platform dedicated to the c