Qualification: 
Ph.D, MCA, MPhil
n_lalitha@cb.amrita.edu

Lalithamani N. currently serves as Assistant Professor at Department of Computer Science and Engineering, School of Engineering, Coimbatore Campus. Her areas of research include Biometrics and Image Processing.

Publications

Publication Type: Conference Paper

Year of Publication Publication Type Title

2017

Conference Paper

N. Lalithamani, “Ranking uncertain distributed databases at tuple level”, in Advances in Computational Intelligence - Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 509), 2017, vol. 509, pp. pp.221-229.[Abstract]


In distributed database system, the data are located at different locations. As the data are at multiple locations, it may not be accurate. It may contain uncertain values or even some data may be missing. Due to impreciseness and uncertainty in the data, occurrence of error becomes high. This makes the processing of the data difficult. There are many ways to handle uncertain databases. To obtain required data, ranking technique is used. One such technique is the top-k query method where the data are retrieved according to user input. This paper proposes an algorithm that ranks and retrieves the data in minimum time at tuple level. In addition, the number of records traversed during this ranking and retrieval process is minimized. The time taken for retrieval of the records is also analyzed.

More »»

2016

Conference Paper

N. Lalithamani, “Gesture control using single camera for PC”, in Physics Procedia, 2016, vol. 78, pp. pp. 146-152.

2015

Conference Paper

N. Lalithamani and M, S., “Embedding of iris data to hand vein images using watermarking technology to improve template protection in biometric recognition”, in Proceedings of 2015 IEEE International Conference on Electrical, Computer and Communication Technologies( ICECCT 2015), 2015.

2014

Conference Paper

N. Lalithamani, Sukumaran, R., K, A., KK, S., V, D., and S, S., “A mixed-initiative approach for summarizing discussions coupled with sentimental analysis”, in ACM International Conference Proceeding Series, 2014.

2009

Conference Paper

N. Lalithamani and KP, S., “An efficient approach for non-invertible cryptographic key generation from cancelable fingerprint biometrics”, in International Conference on Advances in Recent Technologies in Communication and Computing(ARTCom 2009), 2009, pp. pp.47-52, 2009.

2009

Conference Paper

N. Lalithamani and KP, S., “Towards generating irrevocable key for cryptography from cancelable fingerprints”, in Proceedings 2009-2nd IEEE International Conference on Computer Science and Information Technology(ICCSIT 2009), 2009, pp. pp.563-568.

Publication Type: Conference Proceedings

Year of Publication Publication Type Title

2017

Conference Proceedings

N. Lalithamani, “Advances in Intelligent Systems and Computing”, Advances in Intelligent Systems and Computing, vol. 509. Springer Singapore, pp. pp 221 – 229, 2017.[Abstract]


The book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issue in big data and cloud computing, computation linguistics, cyber-physical systems as well as topics in intelligent information management. Written by active researchers, the different chapters are based on contributions presented at the workshop in intelligent systems and computing

More »»

Publication Type: Journal Article

Year of Publication Publication Type Title

2016

Journal Article

N. Lalithamani and R, S., “Countermeasures for indirect attack for iris based biometric authentication”, Indian Journal of Science and Technology , 2016.

2016

Journal Article

S. K and N. Lalithamani, “Automatic scraper of celebrity images from heterogeneous websites based on face recognition and sorting for profiling”, International Journal of control theory and applications, vol. 9, no. 2, pp. 1409-1420, 2016.[Abstract]


Now days it has become trend to follow all the celebrities as we consider them as our role models. So instead of searching the images of various celebrities in different websites we can find them in a single website by sorting all the images. Reliable database of images is essential for any image recognition system. Through Internet we find all the required images. These images will serve as samples for automatic recognition system. With these images we do face detection, face recognition, face sorting using various techniques like local binary patterns, haar cascades. We make an overall analysis of the detector. Using opencv we detect and recognize images. Similarity matching is done to check how the images are related to each other. Collection of images is based on user defined templates, which are in web browser environment. With the help of this system one can give their requirement and the image of celebrity is displayed based on that

More »»

2016

Journal Article

N. Lalithamani and B, S., “Simulation of multimodal biometrics with cryptosystem in hospital suites”, Pakistan Journal of Biotechnology, vol. 13, no. 2, pp. pp.138-142, 2016.

2015

Journal Article

N. Lalithamani and M, S., “Dual encryption algorithm to improve security in hand vein and palm vein-based biometric recognition”, Journal of medical imaging and health informatics, vol. 5, no. 3, pp. pp.545-551, 2015.

2015

Journal Article

R. G, T, R., and N. Lalithamani, “Microbots in biofield: A Cancer warrior”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. pp.4236-4239, 2015.

2015

Journal Article

N. Lalithamani and R, S., “A Survey process of attacks on iris based recognition for biometric authentication”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. pp.1466-1470, 2015.

2015

Journal Article

N. Lalithamani and M, S., “Palm and hand vein-based fuzzy vault generation scheme for multibiometric cryptosystem”, Imaging Science Journal , vol. 63, no. 2, pp. pp.111-118, 2015.

2015

Journal Article

N. Lalithamani, S, S., and PA, D., “A hybrid model for ranking uncertain distributed database”, International Journal of Applied Engineering Research”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. pp.1424-1428, 2015.

2009

Journal Article

N. Lalithamani and KP, S., “Irrevocable cryptographic key generation from cancelable fingerprint templates: An enhanced and effective scheme”, European Journal of Scientific Research, 2009.[Abstract]


The growing vastness of identity theft in our society has made the requirement of reliable information security mechanisms a priority. Even though information security can be accomplished with the help of a prevailing tool like cryptography, protecting the confidentiality of the cryptographic keys is one of the significant issues to be deal with. This predicament can be efficiently solved by the integration of biometrics with cryptography. Of late, the enhanced performance of cryptographic key generated from biometrics in terms of security has obtained massive reputation amongst the researchers and experimenters. However, there is a permanent association between the biometric and the user, in which modification is impossible. Hence, the biometric is gone eternally and possibly for all the applications which apply it, if there is a compromise of the biometric identifier. This may be solved by the construction of revocable biometric templates through cancelable biometrics. In this paper, we have proposed an approach to generate irrevocable cryptographic key from cancelable fingerprint templates, which performs in an efficient manner. Initially, the fingerprints are employed to extract the minutiae points which are transformed in an efficient manner to obtain deformed points. Subsequently, the deformed points are employed to generate the cancelable templates which are utilized for the extraction of irrevocable keys. It is highly impractical to acquire cancelable fingerprint templates and original fingerprints from the generated key owing to the fact that cryptographic key generated is irrevocable. We have utilized the fingerprints accessible from open sources to evaluate the efficacy of our approach. In addition, the protection analysis of the proposed method has been presented. More »»
Faculty Research Interest: 
207
PROGRAMS
OFFERED
5
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS