Review on Biometric Identification Using Lip Prints

Issue: Vol.9 No.1

Authors:

Madhulika Bhatia (Manav Rachna International University, Faridabad)

Shilpi Jain (IBM, Bangalore)

Poojitha V (Birla Soft, Noida)

Nikhil Verma (Manav Rachna International Institute of Research and Studies, Faridabad)

Keywords: Lip extraction, feature extraction, Biometric identification, Cheiloscopy

Abstract:

Study of biometric for human identification is trending nowadays. Several methods and algorithms have been suggested for the usage in biometric recognition system. “A biometric can be based on either a person’s physical or behavioural characteristics.” The key approach behind the means is to uniquely recognize humans by their inherent physical characteristics. Recognition or identification through these biometric features dissipates the issues related with the traditional approaches for identifying humans. Humans are identified or recognized through their physical characteristics and not by any external entity that they must provide for the process. The paper presents a short review of all the methods used for the biometric identification using lips by various people. The various papers have been read and studied. The algorithms were analyzed. Then the methods have been implemented to show the output. Biometric identification such as lip prints is used to recognize every individual. Lip shape and features have been detected using various algorithms.

References:

[1] Bhattacharjee, Saptarshi, S. Arunkumar, and Samir Kumar Bandyopadhyay. “Personal identification from lip-print features using a statistical model.”arXiv preprint arXiv:1310.0036 (2013).

[2] Shokhan, M. H., and A. M. Khitam. “Biometric Identification System by Lip Shape.” International Journal of Advanced Computer Research 5.18 (2015): 19.

[3] Bandyopadhyay, Samir Kumar, S. Arunkumar, and Saptarshi Bhattacharjee. “Feature Extraction of Human Lip Prints.” arXiv preprint arXiv:1312.0852(2013).

[4] Ives, Robert W., et al. “A multidisciplinary approach to biometrics.” IEEE Transactions on Education 48.3 (2005): 462-471.

[5] Deepika, C. Lakshmi, and A. Kandaswamy. “An algorithm for improved accuracy in unimodal biometric systems through fusion of multiple feature sets.” ICGST-GVIP Journal, ISSN (2009): 33-40.

[6] Sandhu, Parvinder S., et al. “Biometric methods and implementation of algorithms.” International Journal of Electrical and Electronics Engineering3.8 (2009): 492-497.

[7] Bhatia, Madhulika, et al. “Proposed algorithm to blotch grey matter from tumored and non tumored brain MRI images.” Indian Journal of science and Technology 8.17 (2015).

[8] Bhatia, Madhulika, et al. “A proposed stratification approach for MRI images.” Indian Journal of Science and Technology 8.22 (2015).

[9] Poojitha, V., et al. “A collocation of IRIS flower using neural network clustering tool in MATLAB.” Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference. IEEE, 2016.

[10] Maini, Raman, and Himanshu Aggarwal. “Study and comparison of various image edge detection
techniques.” International journal of image processing (IJIP) 3.1 (2009): 1-11.

[11] Yun, Jaeseok. “User identification using gait patterns on UbiFloorII.” Sensors 11.3 (2011): 2611-2639.

[12] Borase, Archana P., Saleem Shaikh, and Anand Mohatta. “A Study of Lip Prints among North Maharashtrian Population.” Journal of Advanced Oral Research/SepDec 7.3 (2016).

[13] Yun, Jaeseok, et al. “User identification with user’s stepping pattern over the UbiFloorII.” International Journal of Pattern Recognition and Artificial Intelligence 22.03 (2008): 497-514.

[14] Choraœ, Micha³. “The lip as a biometric.” Pattern Analysis & Applications 13.1 (2010): 105-112.

[15] Smacki, Lukasz, and Krzysztof Wrobel. “Lip print recognition based on mean differences similarity
measure.” Computer Recognition Systems 4. Springer Berlin Heidelberg, 2011. 41-49.

[16] Ramirez-Cortes, Juan-Manuel, et al. “A biometric system based on neural networks and SVM using morphological feature extraction from hand-shape images.” Informatica 22.2 (2011): 225-240.

[17] Wrobel, Krzysztof, Piotr Porwik, and Rafal Doroz. “Effective Lip Prints Preprocessing and Matching
Methods.” Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Springer International Publishing, 2016.

[18] Selvamani, Manickam, P. Meghala Priya, and D. B. Nandini. “Study of lip print pattern in Kerala sample population.” International Journal of Current Research 8.11 (2016): 41279-41282.

[19] Shah, Dolly, and Dinesh Chandra Jain. “Study of Facial Expression Analysis of Feature Extraction Based on Lip Movement for User Authentication.” International Journal of Computer Applications 98.11 (2014).

[20] Kapoor, Neeti, and Ashish Badiye. “A study of distribution, sex differences and stability of lip print
patterns in an Indian population.” Saudi Journal of Biological Sciences (2015).

[21] Gurumurthy, Sasikumar, and B. K. Tripathy. “Design and Implementation of Face Recognition System in Matlab Using the Features of Lips.” International Journal of Intelligent Systems and Applications 4.8 (2012): 30

[22] https://www.ijsr.net/archive/v2i4/IJSRON1201312.pdf