The Comparison of Signature Verification Result Using 2DPCA Method and SSE Method

International Journal of artificial intelligence research

View Publication Info
 
 
Field Value
 
Title The Comparison of Signature Verification Result Using 2DPCA Method and SSE Method
 
Creator Sinaga, Anita Sindar R M
 
Subject Image Processing
Pattern Recognition
 
Description The rate of speed and validation verify to be a reference of quality information and reliable results. Everyone has signature characteristics but it will be difficult to match original signatures with a clone. Two Dimensional Principal Component Analysis (2DPCA) method, Sum Equal Error (SSE) method includes a method that can provide accurate data verification value of 90% - 98%. Results of scanned signatures, converted from RGB image - grayscale - black white (binary color). The extraction process of each method requires experimental data as a data source in pixel size. Digital image consists of a collection of pixels then each image is converted in a matrix. Preprocessing Method 2 DPCA each data is divided into data planning and data testing. Extraction on SSE method, each data sought histogram value and total black value. This study yields a comparison of the suitability of the extraction results of each method. Both of these methods have a data accuracy rate of 97% - 98%. When compared to the results of the accuracy of image verification with 2DPCA method: SSE is 97%: 96%. With the same data source will be tested result of 2DPCA method with SSE method.
 
Publisher STMIK Dharma Wacana
 
Contributor
 
Date 2018-06-09
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijair.id/index.php/ijair/article/view/38
10.29099/ijair.v2i1.38
 
Source International Journal of Artificial Intelligence Research; Vol 2, No 1 (2018): June; 17 - 28
2579-7298
10.29099/ijair.v2i1
 
Language eng
 
Relation http://ijair.id/index.php/ijair/article/view/38/pdf
 
Rights Copyright (c) 2018 International Journal of Artificial Intelligence Research
https://creativecommons.org/licenses/by-sa/4.0
 

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