Aplikasi identifikasi tanda tangan dengan metode principal component analysis berbasis android
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Reyhan, Kevin
Ningrum, Rahma Farah
Kuswandani, Dwina
Ningrum, Rahma Farah
Kuswandani, Dwina
Subject
Teknik Informatika
Datestamp
2022-09-26 07:04:57
Abstract :
This study aims to reduce the signature forgery cases that occur. Identification in this application is real time, the identification process uses the principal component analysis method. The calculation process is way automatic where the application will identify the test image with the training image that has been saved in the application. Comparison between signatures will use the Euclidean distance method, where the shortest distance between signatures will be searched if the signature does not match the predetermined limits, the application will display a message, and if the signature matches the application limits, it will not show a message. Based on the results, by applying the principal component analysis method, the accuracy value is 80% with an error value of 20%.
This study aims to reduce the signature forgery cases that occur. Identification in this application is real time, the identification process uses the principal component analysis method. The calculation process is way automatic where the application will identify the test image with the training image that has been saved in the application. Comparison between signatures will use the Euclidean distance method, where the shortest distance between signatures will be searched if the signature does not match the predetermined limits, the application will display a message, and if the signature matches the application limits, it will not show a message. Based on the results, by applying the principal component analysis method, the accuracy value is 80% with an error value of 20%.
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