A Novel Key Generation Cryptosystem Based on Face Features

摘要：

with the development of Internet, Information security is becoming more and more important. Traditional cryptographic methods require the user to remember keys, it is not convenient. Biometrics based cryptographic key generation techniques generate cryptographic keys from biometrics directly. In this paper, we propose a biometric cryptosystem based on face biometrics. At encryption stage, a 128-dimensional principal component analysis (PCA) feature vector is firstly extracted from the face image. And a 128 bit binary vector is obtained by thresholding. Then we select the distinguishable bits to form biokey and the optimal bit order number is saved in a look-up table. Furthermore, an error-correct-code (ECC) is generated using Reed-Solomon algorithm. The message is encrypted using symmetric DES with bio-key. In decryption phase, a 128-dimensional PCA features vector extracted from the query face image. Then a bio-key is generated using the look-up table generated at encryption stage. The final key is obtained using both bio-key and Error correct code (ECC). Finally, the symmetric DES decryption algorithm implemented to obtain message using final key. The proposed scheme is tested using ORL face database, the experimental results shows that our algorithm is effective.

关键词： Biometric encryption key-generation bio-key error-correct-code

作者: Lifang Wu Xingsheng Liu Songlong Yuan Peng Xiao

作者单位: School of Electronic Information and Control Engineering,Beijing University of Technology Beijing, China 100124

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1675-1678

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）