Desain dan Implementasi Algoritma Thinning Paralel untuk Pengolahan Citra (Studi Kasus: Thinning Paralel pada Citra Sidik Jari)

Abstract

Thinning is a process of reducing an object in a digital image to the minimum size necessary for machine recognition. After thinning, analysis on the reduced size image can be performed. Thinning is often used in pattern recognition techniques, which are essential parts of artificial intelligence. This case study found that fingerprint images before and after image processing using Parallel Thinning Algorithm. Method in parallel thinning algorithms is that the decision for individual pixel deletion is based on the results of the previous iteration. The Quality of image after thinning process depends on the quality of image before thinning process.