# Face Recognition

> Face Recognition can be used as a test framework for face recognition methods

Canonical page: [https://chrome-stats.com/d/ch.zhaw.facerecognition](https://chrome-stats.com/d/ch.zhaw.facerecognition)

## Overview

- **ID:** `ch.zhaw.facerecognition`
- **Platform:** Android
- **Type:** Android app
- **Status:** Available
- **Publisher:** Qualeams
- **Category:** LIBRARIES\_AND\_DEMO
- **Downloads:** 111,199
- **Rating:** 2.83 / 5 (266 ratings)
- **Version:** 1.5.1
- **Last updated:** 2017-05-27
- **First published:** 2016-05-24
- **Publisher country:** CH
- **Data as of:** 2026-09-07
- **Store listing:** [Google Play Store](https://play.google.com/store/apps/details?id=ch.zhaw.facerecognition)
- **Website:** [https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework](https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework)
- **Privacy policy:** [https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework/blob/master/POLICY.md](https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework/blob/master/POLICY.md)

## Description

Face Recognition is a powerful Chrome extension designed as a test framework for face recognition techniques leveraging Neural Networks, TensorFlow, and Caffe. It incorporates diverse preprocessing algorithms such as Grayscale, Crop, Eye Alignment, Gamma Correction, Difference of Gaussians, Canny Filter, Local Binary Pattern, Histogram Equalization, and Resize to prepare images for analysis.

Users can select from multiple feature extraction and classification methods including Eigenfaces with Nearest Neighbour, Image Reshaping with SVM, TensorFlow with SVM or KNN, and Caffe with SVM or KNN. The extension supports advanced deep learning models such as the TensorFlow Inception5h and VGG Face Descriptor models, catering to devices with adequate RAM. Comprehensive documentation and manual are provided to facilitate efficient use and setup. Face Recognition is ideal for developers and researchers seeking an extensible, configurable platform for experimentation and development in face recognition technology.

## Rankings

- #209,962 — Overall

## Review summary

User reviews indicate that while the app can accurately recognize trained faces and manages photos well, many users experience crashes, poor recognition of unknown persons, and a difficult user interface. Several users report it wasting data and not working on their devices, leading to significant dissatisfaction.

### Pros

- App can recognize faces after training with multiple pictures.
- Recognizes already registered persons reasonably well.
- Photos saved to file system for easy management.

### Cons

- App crashes or refuses to open on some devices.
- Does not recognize unknown or untrained persons correctly.
- Poor user interface and usability issues.
- Consumes data without functioning properly, leading to user frustration.

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Source: [Chrome-Stats](https://chrome-stats.com/d/ch.zhaw.facerecognition)