在行動裝置上以眨眼偵測改善人臉辨識螢幕解鎖之研究

Study of Eye Blinking to Improve Face Recognition for Screen Unlock on Mobile Devices

馮煜凱(Yu-Kai Feng)

指導教授 ： 朱中華

國立臺中科技大學/設計學院/多媒體設計系碩士班/碩士(2016年)

摘要

本篇論文是針對眨眼辨識及人臉辨識技術結合之研究，此研究實用性相當廣泛，也是目前熱門的技術，但是在目前人臉辨識中，有心人士能透過使用者 “照片”的方式，破解這項驗證系統。

因此在本論文將提出眨眼辨識流程解決人臉欺騙之問題，透過眼球中心定位，進一步分析眼睛相關動作與特徵資訊，作為人眼辨識方法。並整合數據中數值及位置，找出使用者眨眼的狀況，利用此項功能辨識使用者，藉此改善人臉辨識中，所發生的人臉欺騙之問題。最後將實驗所獲得的結果進行比較並評估效能，並保持一定水準的安全性。

關鍵字

人眼追蹤 ； 人眼偵測 ； 眨眼 ； 人臉辨識 ； 行動解鎖 ； 資訊安全

並列摘要

This paper presents eye blink recognition, and face recognition is a very popular and promising techniques. In some cases, people can use the photo to hack mobile security systems, so we propose a method to enhance face recognition.

This paper shows an eye blinking detection, which finds a face through the eyeball center position. The proposed method detects the movements of eyeball and the number of eye blinking to improve face detection. For screen unlock on the mobile devices. Experimental results show that our method is efficient and robust for the screen unlock on the mobile devices.

並列關鍵字

Eye tracking ； Eye blink detection ； Blink ； Face recognition ； Mobile unlocking ； Information Security

參考文獻

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