Department Of Computer Science And Technology

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Author: search.filters.author.Kumar, M.

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    Face detection techniques: a review
    (Springer, 2019) Kumar, A; Kaur, Amandeep; Kumar, M.
    With the marvelous increase in video and image database there is an incredible need of automatic understanding and examination of information by the intelligent systems as manually it is getting to be plainly distant. Face plays a major role in social intercourse for conveying identity and feelings of a person. Human beings have not tremendous ability to identify different faces than machines. So, automatic face detection system plays an important role in face recognition, facial expression recognition, head-pose estimation, human–computer interaction etc. Face detection is a computer technology that determines the location and size of a human face in a digital image. Face detection has been a standout amongst topics in the computer vision literature. This paper presents a comprehensive survey of various techniques explored for face detection in digital images. Different challenges and applications of face detection are also presented in this paper. At the end, different standard databases for face detection are also given with their features. Furthermore, we organize special discussions on the practical aspects towards the development of a robust face detection system and conclude this paper with several promising directions for future research. © 2018, Springer Nature B.V.
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    Reversible data hiding in absolute moment block truncation coding compressed images using adaptive multilevel histogram shifting technique
    (Inderscience Enterprises Ltd., 2018) Kaur, A.A.; Kumar, M.
    Due to advancement in communication technology, data are transmitted over the network which is either confidential or private. So, the information security is one of the most critical factors considered when secret data is transmitted between two parties. Another important issue is the bandwidth utilisation for data transmission. Image steganography is a widely used technique for data hiding. It is used in critical applications like military and medical areas. Most of the work is done in uncompressed images, which leads to high storage and large bandwidth required for transmission. Keeping these two factors in mind, this paper presents the multilevel histogram shifting technique in the compressed domain with the addition of adaptive block division scheme to improve the embedding capacity as well as reduce the utilisation of the bandwidth. In this method, absolute moment block truncation coding (AMBTC) compression technique has been used for compression because of its good compression ratio.