DocumentCode
705712
Title
A Hybrid Feature Based Mobile Forensics System
Author
Zhihua Wei ; Rui Zhao
Author_Institution
Key Lab. of Embedded Syst. & Service Comput., Tongji Univ., Shanghai, China
fYear
2015
fDate
25-27 March 2015
Firstpage
151
Lastpage
155
Abstract
Due to the limited computing ability of current mobile computing platform, many intelligent applications are hard to be implemented, such as some complex pattern recognition algorithms. This paper proposes a kind of fast hybrid feature based progressive person recognition algorithm for forensics application which form the candidate set according to the biometric feature first and then conduct face recognition algorithm in the candidate set. A bionic pattern recognition based face recognition algorithm is also proposed. Experimental results show that the proposed algorithm has a satisfied recognition precision and low time complexity which could be conducted on mobile forensics devices with high efficiency.
Keywords
face recognition; image forensics; mobile computing; bionic pattern recognition; face recognition algorithm; hybrid feature based mobile forensics system; mobile forensics devices; progressive person recognition algorithm; Algorithm design and analysis; Face; Face recognition; Forensics; Image color analysis; Prediction algorithms; Face recognition; Mobile forensics; Person recognition; biometric feature; bionic pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomous Decentralized Systems (ISADS), 2015 IEEE Twelfth International Symposium on
Conference_Location
Taichung
Print_ISBN
978-1-4799-8260-8
Type
conf
DOI
10.1109/ISADS.2015.32
Filename
7098251
Link To Document