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Pregled bibliografske jedinice broj: 989917

Development of Android Application for Gender, Age and Face Recognition Using OpenCV


Salihbašić, Alen; Orehovački, Tihomir
Development of Android Application for Gender, Age and Face Recognition Using OpenCV // Proceedings of the 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2019. str. 1898-1903 doi:10.23919/MIPRO.2019.8756700 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 989917 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Development of Android Application for Gender, Age and Face Recognition Using OpenCV

Autori
Salihbašić, Alen ; Orehovački, Tihomir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2019, 1898-1903

Skup
42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2019)

Mjesto i datum
Opatija, Hrvatska, 20.05.2019. - 24.05.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
face detection ; deep neural network ; face recognition ; Android application ; gender, age, face recognition ; OpenCV ; Android Studio

Sažetak
The idea behind the face recognition system is the fact that every individual has a unique face. Like the fingerprint, an individual's face has many unique structures and features. Facial authentication and facial recognition are challenging tasks. For facial recognition systems to be reliable, they must work with great precision and accuracy. Images captured taking into account different facial expressions or lighting conditions allow greater precision and accuracy of the system compared to a case where only one image of each individual is stored in the database. The face recognition method handles the captured image and compares it to the images stored in the database. If a matching template is found, an individual is identified. Otherwise, the person is reported as unidentified. This paper describes and explains in detail the entire process of developing Android mobile application for recognizing person’s gender, age and face. Face detection and recognition methods that have been used are described and explained as well as development tools used in the development of Android mobile application. The software solution describes the details of using the OpenCV library and shows the actual results of the mobile application through the images.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Sveučilište Jurja Dobrile u Puli

Profili:

Avatar Url Tihomir Orehovački (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Salihbašić, Alen; Orehovački, Tihomir
Development of Android Application for Gender, Age and Face Recognition Using OpenCV // Proceedings of the 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2019. str. 1898-1903 doi:10.23919/MIPRO.2019.8756700 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Salihbašić, A. & Orehovački, T. (2019) Development of Android Application for Gender, Age and Face Recognition Using OpenCV. U: Skala, K. (ur.)Proceedings of the 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) doi:10.23919/MIPRO.2019.8756700.
@article{article, author = {Salihba\v{s}i\'{c}, Alen and Orehova\v{c}ki, Tihomir}, editor = {Skala, K.}, year = {2019}, pages = {1898-1903}, DOI = {10.23919/MIPRO.2019.8756700}, keywords = {face detection, deep neural network, face recognition, Android application, gender, age, face recognition, OpenCV, Android Studio}, doi = {10.23919/MIPRO.2019.8756700}, title = {Development of Android Application for Gender, Age and Face Recognition Using OpenCV}, keyword = {face detection, deep neural network, face recognition, Android application, gender, age, face recognition, OpenCV, Android Studio}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Salihba\v{s}i\'{c}, Alen and Orehova\v{c}ki, Tihomir}, editor = {Skala, K.}, year = {2019}, pages = {1898-1903}, DOI = {10.23919/MIPRO.2019.8756700}, keywords = {face detection, deep neural network, face recognition, Android application, gender, age, face recognition, OpenCV, Android Studio}, doi = {10.23919/MIPRO.2019.8756700}, title = {Development of Android Application for Gender, Age and Face Recognition Using OpenCV}, keyword = {face detection, deep neural network, face recognition, Android application, gender, age, face recognition, OpenCV, Android Studio}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus


Citati:





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