# Face recognition using local binary pattern histogram for visually impaired people
> Aza V.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85074906306
Jurnal / Konferensi: Proceedings 2019 International Seminar on Application for Technology of Information and Communication Industry 4 0 Retrospect Prospect and Challenges Isemantic 2019
Tahun terbit: 2019
DOI: https://doi.org/10.1109/ISEMANTIC.2019.8884216
Citations: 8

## Authors
- Aza V.

## Abstract
This study aims to build a real-time system that can help visually impaired to recognize people present in their surroundings. Visually impaired people experience many difficulties in daily activities, especially to recognize people. The proposed system applies the concept of a mobile personal assistant that runs in Android smartphone. The input data is a real-time video taken using 16-megapixel smartphone camera with a resolution of 1280×720. The system built uses Gamma Correction and Difference of Gaussian methods to improve the accuracy of the Local Binary Pattern Histogram (LBPH) algorithm. Based on the experiment with 148 cm and 172 cm user heights and 8 respondents, the system was able to increase the accuracy by 8.32% for 148 cm height, while the accuracy for 172 cm height increased by 6.22%. The output of this system is the sound of the identification result.

## Keywords
- Histogram
- Computer vision
- Computer science
- Artificial intelligence
- Local binary patterns
- Android (operating system)
- Identification (biology)
- Histogram of oriented gradients
- Binary number
- Facial recognition system
- Gaussian
- Pattern recognition (psychology)
- Mathematics
- Image (mathematics)
- Arithmetic
- Biology
- Quantum mechanics
- Operating system
- Physics
- Botany

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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