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Face Recognition Application Based on Convolutional Neural Network for Searching Someone’s Photo on External Storage

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@article{IJASEIT11666,
   author = {I Putu Arya Dharmaadi and Deden Witarsyah and I Putu Agung Bayupati and Gusti Made Arya Sasmita},
   title = {Face Recognition Application Based on Convolutional Neural Network for Searching Someone’s Photo on External Storage},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {12},
   number = {3},
   year = {2022},
   pages = {1222--1228},
   keywords = {Photo searching; convolutional neural network; face recognition; python; dlib.},
   abstract = {Digital photos are often defined as personal archives collected long ago and are stored on a large enough storage media such as an external hard disk or flash disk. Problems arise when someone wants to find photos of themselves or others in tons of photo collections. Searching manually, such as opening a photo file or folder one by one, will certainly be very troublesome. Based on these problems, this study designed an application for searching certain photos based on the similarity of the inserted face photo. This application is built for computer or laptop devices, which was developed by using the Python programming language and Dlib module that applied the face recognition method through the combination of Convolutional Neural Network (CNN), FaceNet Embedding, and Triplet Loss for matching faces. The recognition scheme starts from face detection, face alignment, face encoding, and face classification stage. Our application is very handy to run in looking for particular face images on external storage compared to prior studies. We have done experimental research, demonstrating that the application can find almost all image files the user is looking for. In addition to the result in the form of an application, this study contributes to exploring the performance of the Dlib module, in terms of precision and recall rate, which could not recognize non-frontal face images well. We encourage other researchers to address this limitation in further studies.},
   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=11666},
   doi = {10.18517/ijaseit.12.3.11666}
}

EndNote

%A Dharmaadi, I Putu Arya
%A Witarsyah, Deden
%A Bayupati, I Putu Agung
%A Arya Sasmita, Gusti Made
%D 2022
%T Face Recognition Application Based on Convolutional Neural Network for Searching Someone’s Photo on External Storage
%B 2022
%9 Photo searching; convolutional neural network; face recognition; python; dlib.
%! Face Recognition Application Based on Convolutional Neural Network for Searching Someone’s Photo on External Storage
%K Photo searching; convolutional neural network; face recognition; python; dlib.
%X Digital photos are often defined as personal archives collected long ago and are stored on a large enough storage media such as an external hard disk or flash disk. Problems arise when someone wants to find photos of themselves or others in tons of photo collections. Searching manually, such as opening a photo file or folder one by one, will certainly be very troublesome. Based on these problems, this study designed an application for searching certain photos based on the similarity of the inserted face photo. This application is built for computer or laptop devices, which was developed by using the Python programming language and Dlib module that applied the face recognition method through the combination of Convolutional Neural Network (CNN), FaceNet Embedding, and Triplet Loss for matching faces. The recognition scheme starts from face detection, face alignment, face encoding, and face classification stage. Our application is very handy to run in looking for particular face images on external storage compared to prior studies. We have done experimental research, demonstrating that the application can find almost all image files the user is looking for. In addition to the result in the form of an application, this study contributes to exploring the performance of the Dlib module, in terms of precision and recall rate, which could not recognize non-frontal face images well. We encourage other researchers to address this limitation in further studies.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11666
%R doi:10.18517/ijaseit.12.3.11666
%J International Journal on Advanced Science, Engineering and Information Technology
%V 12
%N 3
%@ 2088-5334

IEEE

I Putu Arya Dharmaadi,Deden Witarsyah,I Putu Agung Bayupati and Gusti Made Arya Sasmita,"Face Recognition Application Based on Convolutional Neural Network for Searching Someone’s Photo on External Storage," International Journal on Advanced Science, Engineering and Information Technology, vol. 12, no. 3, pp. 1222-1228, 2022. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.12.3.11666.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Dharmaadi, I Putu Arya
AU  - Witarsyah, Deden
AU  - Bayupati, I Putu Agung
AU  - Arya Sasmita, Gusti Made
PY  - 2022
TI  - Face Recognition Application Based on Convolutional Neural Network for Searching Someone’s Photo on External Storage
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 12 (2022) No. 3
Y2  - 2022
SP  - 1222
EP  - 1228
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Photo searching; convolutional neural network; face recognition; python; dlib.
N2  - Digital photos are often defined as personal archives collected long ago and are stored on a large enough storage media such as an external hard disk or flash disk. Problems arise when someone wants to find photos of themselves or others in tons of photo collections. Searching manually, such as opening a photo file or folder one by one, will certainly be very troublesome. Based on these problems, this study designed an application for searching certain photos based on the similarity of the inserted face photo. This application is built for computer or laptop devices, which was developed by using the Python programming language and Dlib module that applied the face recognition method through the combination of Convolutional Neural Network (CNN), FaceNet Embedding, and Triplet Loss for matching faces. The recognition scheme starts from face detection, face alignment, face encoding, and face classification stage. Our application is very handy to run in looking for particular face images on external storage compared to prior studies. We have done experimental research, demonstrating that the application can find almost all image files the user is looking for. In addition to the result in the form of an application, this study contributes to exploring the performance of the Dlib module, in terms of precision and recall rate, which could not recognize non-frontal face images well. We encourage other researchers to address this limitation in further studies.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11666
DO  - 10.18517/ijaseit.12.3.11666

RefWorks

RT Journal Article
ID 11666
A1 Dharmaadi, I Putu Arya
A1 Witarsyah, Deden
A1 Bayupati, I Putu Agung
A1 Arya Sasmita, Gusti Made
T1 Face Recognition Application Based on Convolutional Neural Network for Searching Someone’s Photo on External Storage
JF International Journal on Advanced Science, Engineering and Information Technology
VO 12
IS 3
YR 2022
SP 1222
OP 1228
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Photo searching; convolutional neural network; face recognition; python; dlib.
AB Digital photos are often defined as personal archives collected long ago and are stored on a large enough storage media such as an external hard disk or flash disk. Problems arise when someone wants to find photos of themselves or others in tons of photo collections. Searching manually, such as opening a photo file or folder one by one, will certainly be very troublesome. Based on these problems, this study designed an application for searching certain photos based on the similarity of the inserted face photo. This application is built for computer or laptop devices, which was developed by using the Python programming language and Dlib module that applied the face recognition method through the combination of Convolutional Neural Network (CNN), FaceNet Embedding, and Triplet Loss for matching faces. The recognition scheme starts from face detection, face alignment, face encoding, and face classification stage. Our application is very handy to run in looking for particular face images on external storage compared to prior studies. We have done experimental research, demonstrating that the application can find almost all image files the user is looking for. In addition to the result in the form of an application, this study contributes to exploring the performance of the Dlib module, in terms of precision and recall rate, which could not recognize non-frontal face images well. We encourage other researchers to address this limitation in further studies.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11666
DO  - 10.18517/ijaseit.12.3.11666