Based on analyzing and experimenting a large number of the existing fingerprint image preprocessing algorithm, this paper presents a novel high-quality fingerprint image preprocessing algorithm. Taking full account of the inherent characteristics of the fingerprint image, the algorithm arranges overall features and local detail. The experiments show that it is a simple, efficient algorithm whic...

The handwriting produced by each person is unique, so has a different stroke, even though they write the same letter. Handwritten Javanese an exciting topic to study, in addition scientific purposes and preserving Indonesian culture. character image dataset aksara Jawa: Jawa custom from Kaggle database consists of 2,154 train data 480 evaluation data. This research proposed analyze impact some ...

Early detection of breast cancer increases the survival rate and increases the treatment options. In this paper, we present different preprocessing methods for mammogram images. The main goal of the preprocessing is to improve the mammogram image quality and make it ready for the segmentation and feature extraction. Different types of filtering techniques are available for preprocessing. Filter...

In this paper we present Document analysis and classification system to segment and classify contents of Arabic document images. This system includes preprocessing, document segmentation, feature extraction and document classification. A document image is enhanced in the preprocessing by removing noise, binarization, and detecting and correcting image skew. In document segmentation, an algorith...

This article describes the way in which image is prepared for content-based image retrieval system. Our CBIR system is dedicated to support estate agents. In our database there are images of houses and bungalows. All efforts have been put into extracting elements from an image and finding their characteristic features in the unsupervised way. Hence, the paper presents segmentation algorithm bas...

Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...