
*corresponding author
AbstractThe 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. KeywordsPattern Recognition
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DOIhttps://doi.org/10.29099/ijair.v2i1.38 |
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References
Qian Wang, Qian Gao, “IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops” pp. 1152-1158, 2016.
A. Mashhoori, M. Zolghadri Jahromi, “Block-wise two-directional 2DPCA with ensemble learning for face recognition”, pp. 111-117, 2013.
John Huguenard, “Stanford University School of Medicine,” 2015
Anita Sindar RMS, “Optical Systems and Digital Image Acquisition”, Juripol, pp. 61-60, 2018.
E. Jebamalar Leavline, D. Asir Antony Gnana Singh, “On Teaching Digital Image Processing with MATLAB”, American Journal of Signaling Processing, pp. 7-15, 2014.
Xiuhua Liang, Guangming Deng, Bin Yan, “Fruit and Vegetable Nutrition Value Assessment and Replacement Based on the Principal Component Analysis and Cluster Analysis,” Scientific Research Publishing, Applied Mathematics, pp. 1620-1629, 2016.
Shoichi Fujimori, Yu Kawakami, Masatoshi Kokubu, Wayne Rossman, Masaaki Umehara, Kotaro Yamada, “Entire Zero-Mean Curvature Graphs I Lorents-Minkowski 3-Space, The Quarterly Journal of Mathematics, pp. 801-837, 2016.
Santiago Velasco-Forero, Marcus Chen, Alvina Goh, “Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Image, IEEE Journal of Selected Topics in Signal Processing, pp.1061-1073, 2015.
Ivan Dokmanic, “Euclidean Distance Matrices: Essential Theory, Algorithms, and Applications”, IEEE Signal Processing Magazine, pp. 12-30, 2015.
Tippaya Thinsungnoen, Nuntawut Kaoungku, PangsakomDurongdumronchai, “The Clustering Validity with Silhouette and Sum of Squared Errors’, Proceedings of the 3rd International Conference on Industrial Application Engineering, pp.44-51, 2015.

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