Face Feature Extraction Based On Design And Implementation Of Image Encryption Algorithm

In recent years, accompanied by a wave of cloud computing in the Internet field, gave birth to many people's lives, computer technology, cloud storage is one of them. Cloud storage, as the name suggests, is a form of storage in the cloud rather than locally stored mode. At this stage,some famous cloud storage company are Baidu Cloud, SkyDrive, Google Drive, iCloud and so on.However, the PRISM tells us the cloud storage providers are not reliable.Face for men is a major identification feature. Photos uploaded to the cloud storage platform, we cannot ensure that your private data is transparent to the software provider for cloud storage platform. Only some feature of the face area encrypts, to ensure privacy of data transparent to the cloud storage platform software provider. Human eye for faces is an important characteristic.Aimed at a characteristic value for the face image file--the human eye, paper studied the regional identification and encryption and decryption technology to the human eye area of BMP file format. For an BMP face image, first through the Open CV technology get the human eye area. In order to get the eye area as small as possible, optimize the eye area the OpenCV gets. First,make Canny edge detection on the eye area the OpenCV gets and then get the eye contour location. For encrypting the eye contour, deform the eye contour area.As a result, on the premise of reducing eye regions extraction data, the effect of the encryption is good.