Robust Phase-Based Features Extracted From Image By A Binarization Technique
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
Abstract: In this paper, a robust phase-based features extracted by binarization technique for ancient document images is proposed. Three feature maps derived from the phase information of an input document image constitute the core of this binarization model. These features are the maximum moment of phase congruency covariance, a locally weighted mean phase angle, and a phase preserved denoised image. The proposed model consists of three standard steps: 1) preprocessing; 2) main binarization; and 3) postprocessing.In the preprocessing and main binarization steps, the features used are mainly phase derived, while in the post processing step, specialized adaptive Gaussian and median filters are considered. One of the outputs of the binarization step, which shows high recall performance, is used in a proposed post processing method toimprove the performance of other binarization methodologies
Authors and Affiliations
Dr. T. Amitha, , Dr. B. Raghu
Keywords
Related Articles
- EP ID EP133608
- DOI -
- Views 97
- Downloads 0
DCT based Steganographic Evaluation parameter analysis inFrequency domain by using modified JPEG luminanceQuantization Table
Abstract : Steganography is the process of hiding one file inside another such that others can neither identifythe meaning of the embedded object, nor even recognize its existence. In this paper we want to increase...
Importance of Mean Shift in Remote Sensing Segmentation
The segmentation of an image can be considered as a preprocessing step for many of the algorithms such as object detection and identification. Many algorithms exist in the field of remote sensing for segmentati...
Next Generation Genetic Algorithm for Maximum Clique Problem
Abstract: Given a graph, in the maximum clique problem, one desires to find the largest number of vertices, any two of which are adjacent. A branch-and-bound algorithm for the maximum clique problem—which is comput...
Sentiment Classification in Hindi
Abstract : Traditional approaches for classification of sentiments depend on lexical or syntax based feature oron both. Different methods for sentiments classifications are described .The main goal of analysis of thesent...
Novel Hybrid k-D-Apriori Algorithm for Web Usage Mining
Abstract: The Web usage mining is a branch of web mining in which by clustering the datasets, frequently accessed patterns can be obtained for betterment of social portals, websites. The divisive analysis is one of the t...