Journal BEEI : Triple layer image security using bit-shift, chaos, and stream encryption

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Jounal IOP : Shallot Quality Classification using HSV Color Models and Size Identification based on Naive Bayes Classifier

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Pernah menjadi 8 besar SINTA – UDINUS

Alhamdulillah ..SELAMAT.. sore ini telah dirilis pemeringkatan untuk 500 peneliti terbaik indonesia oleh Menristèk/brin, bisa diakses melalui http://sinta.ristekbrin.go.id/authors yg dihadiri 270 pimpinan perguruan tinggi dan lldikti se Indonesia melalui aplikasi zoom. Selamat dan menginspirasi..

Menjadi bagian dari 10 besar UDINUS, Alhamdulillah semoga berkah.

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Proceeding ICOIACT : An Improve Image Watermarking using Random Spread Technique and Discrete Cosine Transform

Abstract: Watermarking is a powerful technique to protect copyright from cyber-crime. This study proposes a random spread technique based on the Discrete Cosine Transform (DCT) to improve image watermarking performance. The use of the random spread technique is proven to be able to improve the output quality of the watermarked image, where the watermark image is increasingly invisible to the eye after being pinned on the cover image. Better PSNR and MSE values prove this, besides watermark security also increases indirectly because embedding techniques spread randomly.

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Proceeding : Performance Analysis of Face Recognition using Eigenface Approach

Abstract— Eigenface is an algorithm in the principal component analysis (PCA) that is used to recognize faces. Eigenface used to reduce dimensionality and find the best vector for distributing the facial image in the facial space. This method has been widely used and implemented in various previous researches to recognize human face images. Not only to detect human faces under normal conditions, but PCA has also been proven to be able to properly recognize images in various expressions. It can even recognize facial images with various challenges such as detecting faces after plastic surgery and combining them with facial image reconstruction techniques. This research aims to examine the performance of the PCA Eigenface method to recognize human face images from several databases that have their own challenges, such as the lack of illumination of facial images, significant variations in expression and the use of accessories such as glasses. The recognizable accuracy is quite varied, from 100% to 67% in each database with and with an average recognition of more than 85%.

Keywords—Eigenface, Euclidian, Face recognition, JAFFE,PCA, Yale

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Journal of Physics: Conference Series : Dual Security Method for Digital Image using HBV Encryption and Least Significant Bit Steganography

Abstract

This study proposes a combination of two security techniques, namely steganography and cryptography. The proposed steganography technique is LSB because it has advantages in data embedding capacity and message imperceptibility. The LSB technique is very simple and predictable, so to improve message security HBV encryption techniques are applied. HBV encryption is applied to the message before pinning it. HBV encryption is a combination of the Beaufort algorithm and Vigenere cipher so that the message security will be stronger. By combining HBV and LSB encryption, the message can be hidden properly, and its awake. Based on the experimental results, the encryption and embedding process can run well and produce good quality encryption and stego images. Similarly, the extraction and decryption process can run perfectly.

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