Abstract
Nowadays, a lot of documents such as passport, identity card, voter id, certificates contain photograph of a person. These documents are maintained on the network and used in various applications. This paper presents a novel method for the retrieval of documents using face biometrics. We use trace of singular matrix to construct face biometric features in the proposed method. K-nearest neighbor approach with correlation distance is used for similarity measure and to retrieve document images from the database. Proposed method is tested on the synthetic database of 810 document images created by borrowing face images from face94 database [1]. Results are compared with discrete wavelet transform features (DWT), which is counterpart of singular value decomposition (SVD). Proposed features in combination with correlation similarity measure provided mean average precision (MAP) of 75.73% in our experiments.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dr. Libor Spacek, Faces Directories, Faces 94 Directory, http://cswww.essex.ac.uk/mv/allfaces.
Lijie Cao: Singular Value Decomposition Applied To Digital Image Processing, Division of Computing Studies, Arizona State University Polytechnic Campus, Mesa, Arizona 85212, pp. 1–15.
Ara V. Nefian and Monsoon H. Hayes: Hidden Markov Models For Face Detection And Recognition, IEEE Transactions On Pattern Analysis And Machine Intelligence,Vol. 1, pp. 141–145,1999.
Vikram T.N, Shalini R. Urs, and K. Chidananda Gowda: Person specific document retrieval using face biometrics, ICADL-2008, LNCS 5362, pp. 371–374, Springer-Verlag Berlin Heidelberg 2008.
M. Daesik Jang: User Oriented Language Model for Face Detection, IEEE workshop on person oriented vision, pp. 21–26, 2011.
H. B. Kekre, Sudeep D. Thepade, Akshay Maloo: Face Recognition Using Texture Features Extracted From Walshlet Pyramid, Int. Journal on Recent Trends in Engineering & Technology, Vol. 05, No. 2, pp. 186, 2011.
Rowayda A. Sadek: SVD based image processing applications: State of the art, Contributions and Research challenges”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No. 7, pp. 26–34, 2012.
Mohammadreza Keyvanpour and Reza Tavoli: Document image retrieval: Algorithms, Analysis and Promising directions”, International Journal of Software Engineering and Its Applications Vol. 7, No. 1, pp. 93–106, 2013.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dixit, U.D., Shirdhonkar, M.S. (2017). Face Biometric-Based Document Image Retrieval Using SVD Features. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-10-3874-7_45
Download citation
DOI: https://doi.org/10.1007/978-981-10-3874-7_45
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3873-0
Online ISBN: 978-981-10-3874-7
eBook Packages: EngineeringEngineering (R0)