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Detection on Straight Line Problem in Triangle Geometry Features for Digit Recognition

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@article{IJASEIT1457,
   author = {N. A. Arbain and M. S. Azmi and S. S. S. Ahmad and R. Nordin and M. Z. Mas'ud and M. A. Lateh},
   title = {Detection on Straight Line Problem in Triangle Geometry Features for Digit Recognition},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {6},
   number = {6},
   year = {2016},
   pages = {1019--1025},
   keywords = {Classification; Digit Recognition; Feature Extraction; Image Processing; Triangle Geometry.},
   abstract = {Geometric object especially triangle geometry has been widely used in digit recognition area. The triangle geometry properties have been implemented as the triangle features which are used to construct the triangle shape. Triangle is formed based on three points of triangle corner A, B and C. However, a problem occurs when three points of triangle corner were in parallel line. Thus, an algorithm has been proposed in order to solve the straight line problem. The Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) were used to measure based on the classification accuracy. Four datasets were used: HODA, IFCHDB, MNIST and BANGLA. The comparison results classification demonstrated the effectiveness of our proposed method.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1457},
   doi = {10.18517/ijaseit.6.6.1457}
}

EndNote

%A Arbain, N. A.
%A Azmi, M. S.
%A Ahmad, S. S. S.
%A Nordin, R.
%A Mas'ud, M. Z.
%A Lateh, M. A.
%D 2016
%T Detection on Straight Line Problem in Triangle Geometry Features for Digit Recognition
%B 2016
%9 Classification; Digit Recognition; Feature Extraction; Image Processing; Triangle Geometry.
%! Detection on Straight Line Problem in Triangle Geometry Features for Digit Recognition
%K Classification; Digit Recognition; Feature Extraction; Image Processing; Triangle Geometry.
%X Geometric object especially triangle geometry has been widely used in digit recognition area. The triangle geometry properties have been implemented as the triangle features which are used to construct the triangle shape. Triangle is formed based on three points of triangle corner A, B and C. However, a problem occurs when three points of triangle corner were in parallel line. Thus, an algorithm has been proposed in order to solve the straight line problem. The Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) were used to measure based on the classification accuracy. Four datasets were used: HODA, IFCHDB, MNIST and BANGLA. The comparison results classification demonstrated the effectiveness of our proposed method.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1457
%R doi:10.18517/ijaseit.6.6.1457
%J International Journal on Advanced Science, Engineering and Information Technology
%V 6
%N 6
%@ 2088-5334

IEEE

N. A. Arbain,M. S. Azmi,S. S. S. Ahmad,R. Nordin,M. Z. Mas'ud and M. A. Lateh,"Detection on Straight Line Problem in Triangle Geometry Features for Digit Recognition," International Journal on Advanced Science, Engineering and Information Technology, vol. 6, no. 6, pp. 1019-1025, 2016. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.6.6.1457.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Arbain, N. A.
AU  - Azmi, M. S.
AU  - Ahmad, S. S. S.
AU  - Nordin, R.
AU  - Mas'ud, M. Z.
AU  - Lateh, M. A.
PY  - 2016
TI  - Detection on Straight Line Problem in Triangle Geometry Features for Digit Recognition
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 6 (2016) No. 6
Y2  - 2016
SP  - 1019
EP  - 1025
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Classification; Digit Recognition; Feature Extraction; Image Processing; Triangle Geometry.
N2  - Geometric object especially triangle geometry has been widely used in digit recognition area. The triangle geometry properties have been implemented as the triangle features which are used to construct the triangle shape. Triangle is formed based on three points of triangle corner A, B and C. However, a problem occurs when three points of triangle corner were in parallel line. Thus, an algorithm has been proposed in order to solve the straight line problem. The Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) were used to measure based on the classification accuracy. Four datasets were used: HODA, IFCHDB, MNIST and BANGLA. The comparison results classification demonstrated the effectiveness of our proposed method.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1457
DO  - 10.18517/ijaseit.6.6.1457

RefWorks

RT Journal Article
ID 1457
A1 Arbain, N. A.
A1 Azmi, M. S.
A1 Ahmad, S. S. S.
A1 Nordin, R.
A1 Mas'ud, M. Z.
A1 Lateh, M. A.
T1 Detection on Straight Line Problem in Triangle Geometry Features for Digit Recognition
JF International Journal on Advanced Science, Engineering and Information Technology
VO 6
IS 6
YR 2016
SP 1019
OP 1025
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Classification; Digit Recognition; Feature Extraction; Image Processing; Triangle Geometry.
AB Geometric object especially triangle geometry has been widely used in digit recognition area. The triangle geometry properties have been implemented as the triangle features which are used to construct the triangle shape. Triangle is formed based on three points of triangle corner A, B and C. However, a problem occurs when three points of triangle corner were in parallel line. Thus, an algorithm has been proposed in order to solve the straight line problem. The Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) were used to measure based on the classification accuracy. Four datasets were used: HODA, IFCHDB, MNIST and BANGLA. The comparison results classification demonstrated the effectiveness of our proposed method.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1457
DO  - 10.18517/ijaseit.6.6.1457