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JournalISSN: 0976-9099

ICTACT Journal on Image and Video Processing 

ICT Academy
About: ICTACT Journal on Image and Video Processing is an academic journal published by ICT Academy. The journal publishes majorly in the area(s): Image segmentation & Image compression. It has an ISSN identifier of 0976-9099. It is also open access. Over the lifetime, 282 publications have been published receiving 763 citations.

Papers published on a yearly basis

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Journal ArticleDOI
TL;DR: A novel approach for three-dimensional face recognition by extracting the curvature maps from range images by using five layer feed-forward back propagation neural network classifiers for classification and recognition purpose.
Abstract: In this paper, we present a novel approach for three-dimensional face recognition by extracting the curvature maps from range images. There are four types of curvature maps: Gaussian, Mean, Maximum and Minimum curvature maps. These curvature maps are used as a feature for 3D face recognition purpose. The dimension of these feature vectors is reduced using Singular Value Decomposition (SVD) technique. Now from calculated three components of SVD, the nonnegative values of ‘S’ part of SVD is ranked and used as feature vector. In this proposed method, two pair-wise curvature computations are done. One is Mean, and Maximum curvature pair and another is Gaussian and Mean curvature pair. These are used to compare the result for better recognition rate. This automated 3D face recognition system is focused in different directions like, frontal pose with expression and illumination variation, frontal face along with registered face, only registered face and registered face from different pose orientation across X, Y and Z axes. 3D face images used for this research work are taken from FRAV3D database. The pose variation of 3D facial image is being registered to frontal pose by applying one to all registration technique then curvature mapping is applied on registered face images along with remaining frontal face images. For the classification and recognition purpose five layer feed-forward back propagation neural network classifiers is used, and the corresponding result is discussed in section 4.

21 citations

Journal ArticleDOI
TL;DR: A new loss-less symmetric image encryption using a permutation and diffusion structure is proposed and results prove the satisfactory level of security for image encryption.
Abstract: In this paper, a new loss-less symmetric image encryption using a permutation and diffusion structure is proposed. A new key generation process generates secondary keys that act as control parameter for permutation order and diffusion bit generator. The Image pixels are scrambled in bit level. Permutation order is generated using the parametric switching type that permutes the pixel in bit wise manner. In the diffusion stage the different keys were used to diffuse in each round. In the diffusion stage the image pixel bits are masked with the randomly generated binary sequence. Three chaotic systems employed to generate the secondary key, permutation order and diffusion bits. The simulation results prove the satisfactory level of security for image encryption.

18 citations

Journal ArticleDOI
TL;DR: This detection process consists of some techniques of the image preprocessing that is segmentation and effective texture feature extraction with SVM classification and the result would be very useful to cytotechnologists for their further analysis.
Abstract: Cervical cancer is second topmost cancers among women but also, it was a curable one. Regular smear test can discover the sign of precancerous cell and treated the patient according to the result. However sometimes the detection errors can be occurred by smear thickness, cell overlapping or by un-wanted particles in the smear and cytotechnologists faulty diagnosis. Therefore the reason automatic cancer detection was developed. This was help to increase cancer cell mindfulness, diagnosis accuracy with low cost. This detection process consists of some techniques of the image preprocessing that is segmentation and effective texture feature extraction with SVM classification. Then the Final Classification Results of this proposed technique was compared to the previous classification techniques of KNN and ANN and the result would be very useful to cytotechnologists for their further analysis.

16 citations

Journal ArticleDOI
TL;DR: New strategies wherein cryptography and steganography are mixed to scramble the information and in addition to cover the insights in some other medium through image processing (IP) are presented.
Abstract: In this modern era, where technology is increasing at rapid pace and made all day new developments, security is of highest priority. To protect facts into the unrecognizable form diverse technique are used for records hiding like steganography and cryptography techniques have been advanced. This paper securing the image by way of encryption is completed by LSB bits, DWT and RSA algorithm. This paper additionally presents new strategies wherein cryptography and steganography are mixed to scramble the information and in addition to cover the insights in some other medium through image processing (IP). The encrypted picture can be hiding in some other image by way of the use of LSB bits, DWT strategies so that the secret’s message exists. RSA algorithm applied, receiver will use his/her private key because the secret data have been encrypted by recipient public key. Hide encrypted image in the cover image by DWT. Extract encrypted image from cover image and decrypt text by DWT. The proposed scheme is implemented in MATLAB platform the use of preferred cryptography and steganography set of regulations. Calculate PSNR and MSE. Also calculate the entropy of cover image and stego image. This method is secure for communication in the digital world with the digital data transmission.

16 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20221
20217
201917
201833
201732
201626