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Statistical Analysis towards Image Recognition
Samir Kumar Bandyopadhyay,Poulami Das,Debnath Bhattacharyya 보안공학연구지원센터 2008 International Journal of Multimedia and Ubiquitous Vol.3 No.3
In this paper we propose a new Handwritten Signature Authentication Scheme. The scheme consists of two main Rule Set Algorithms and one Authentication Algorithm. The Algorithms are based on extensive statistical analysis, Mean Variance and Theory of Estimation. This is an extension work of Handwritten Signature Identification. This scheme supports the application environment and we strongly believe that “User Authentication” could be a solid platform for future research and study.
Person Identification through IRIS Recognition
Poulami Das,Debnath Bhattacharyya,Samir Kumar Bandyopadhyay,Tai-hoon Kim 보안공학연구지원센터 2009 International Journal of Security and Its Applicat Vol.3 No.1
In this paper we propose a new biometric-based Iris feature extraction system. The system automatically acquires the biometric data in numerical format (Iris Images) by using a set of properly located sensors. We are considering camera as a high quality sensor. Iris Images are typically color images that are processed to gray scale images. Then the Feature extraction algorithm is used to detect “IRIS Effective Region (IER)” and then extract features from “IRIS Effective Region (IER)” that are numerical characterization of the underlying biometrics. Later on this work will be helping to identify an individual by comparing the feature obtained from the feature extraction algorithm with the previously stored feature by producing a similarity score. This score will be indicating the degree of similarity between a pair of biometrics data under consideration. Depending on degree of similarity, individual can be identified. Authentication is also a major concern area of this thesis. By considering Biological characteristics of IRIS Pattern we use Statistical Correlation Coefficient for this ‘IRIS Pattern’ recognition where Statistical Estimation Theory can play a big role.
Handwritten Signature Watermarking and Extraction Technique Inspired by Principle of Segregation
Debnath Bhattacharyya,Samir Kumar Bandyopadhyay,Poulami Das 보안공학연구지원센터 2007 International Journal of Security and Its Applicat Vol.1 No.1
In this paper, we propose a technique for embedding handwritten signature image data into color images and extracting embedded image data from color images. For the sake of security, two watermarked images will be transmitted in different times from the sender’s end to the receiver’s end, in due course, from two transmitted images, at the receiver’s end, original handwritten signature image data will be extracted; a new way of data hiding. From 1994 onward, the use and popularity of Internet in business particular has explored the area of Intellectual Property protection techniques. This paper presents a technique for watermarking Handwritten Signature that achieves robustness by responding to complexity of copy detection, vulnerability to mark removal after revelation for ownership verification and mark integrity issues due to partial mark removal; these three weaknesses.
Arockiasamy Arun Prince Milton,Samir Das,Sandeep Ghatak 한국역학회 2020 Epidemiology and Health Vol.42 No.-
Brucellosis and tuberculosis are lingering zoonotic infections that are endemic in many developing parts of the world, with considerable economic and health costs. Although guidelines for the control of these diseases exist, we highlight neglected transmission routes of these diseases. We show that informal, door-to-door marketing of unpasteurized milk provides an important route for disease transmission through kitchen cross-contamination. Furthermore, the practice of discarding the first strippings of milk at farms needs adjustment to avoid floor and environmental contamination. Herein, we propose handling guidelines and a design for a milk stripping collection vessel. We believe that taking action to block these hitherto unrecognized transmission routes will complement existing efforts and guidelines.
Effect of fillers on morphological and wear characteristics of NR/HSR blends with E-glass fiber
Pal, Kaushik,Pal, Samir K.,Das, Chapal K.,Kim, Jin Kuk Elsevier 2012 MATERIALS AND DESIGN Vol.35 No.-
<P><B>Highlights</B></P><P>► The blends of high styrene rubber (HSR) and natural rubber (NR) with E-glass fiber was prepared. ► ISAF type of CB showed a significant effect on curing and mechanical properties. ► Blends containing ISAF type of CB showed high abrasion resistant against Du-Pont and DIN abrader and different mining rocks. ► Blends containing ISAF type of CB found to be the toughest rubber against rock.</P> <P><B>Abstract</B></P><P>The blends of high styrene rubber (HSR) and natural rubber (NR) with E-glass fiber was prepared using a blending technique in presence of different types of carbon black. The effect of filler on morphological and wear characteristics was studied. ISAF type of carbon black showed a significant effect on optimum cure time, cure rate index and mechanical properties by reacting at the interface between HSR and NR matrix. All the samples show only one melting peak on the DSC curve; this is attributed to the same backbone structure of the matrix and the carbon black reinforcement. The rate of degradation was almost the same up to 90% degradation for all the samples except NSF-1 and NSF-4, may be due to the mixing of N110 and N774 type of carbon black. Blends containing ISAF type of carbon black showed high abrasion resistant properties against Du-Pont abrader, DIN abrader and different mining rock surfaces and also is found to be the toughest rubber against all types of rock.</P>
Ananta N. Panda,Samir Ranjan Mishra,Lopamudra Ray,Surajit Das,Gurdeep Rastogi,Ajit Kumar Pattanaik,Tapan Kumar Adhya,Mrutyunjay Suar,Vishakha Raina 한국미생물학회 2018 The journal of microbiology Vol.56 No.4
A moderately halophilic spore forming, motile, Gram-positive, rod-shaped bacterial strain designated as KGW1T was isolated from water sample of Chilika Lake and characterized taxonomically using polyphasic approach. The strain grew in the presence of 0–25% (w/v) NaCl in marine salt agar media, hydrolyzes casein, and gelatin and shows presence of alkaline proteases. The major cell wall menaquinone was MK7 and major cellular fatty acids were anteiso-C15:0 (44.89%), anteiso-C17:0 (6.18%), isoC15:0 (19.38%), and iso-C16:0 (7.39%). Several chemotaxonomic features conform the isolate be a member of genus Halobacillus. The isolate KGW1T contained A1γ meso-Dpm-direct type of peptidoglycan which is different from its phylogenetically closest neighbours. The 16S rRNA gene sequence based phylogenetic analysis also revealed the strain KGW1T was affiliated to the genus Halobacillus and sequence similarity between the isolated strain and the type strains of Halobacillus species were found closest to, H. dabanensis D-8 DSM 18199T (99.08%) and H. faecis IGA7-4 DSM 21559T (99.01%), H. trueperi SL-5 DSM 10404T (98.94%). The in silico DDH showed that the values in a range of 14.2–17.5% with the most closest strain H. dabanensis D-8 DSM 18199T and other type strains of the genus Halobacillus for which whole genome sequence is reported. DNA-DNA relatedness between strain KGW1T and the closest type strain Halobacillus trueperi DSM 10404T was 11.75% (± 1.15). The draft genome sequence includes 3,683,819 bases and comprises of 3898 predicted coding sequences with a G + C content of 46.98%. Thus, the significant distinctiveness supported by phenotypic and genotypic data with its closest neighbors and other closely related species confirm the strain KGW1T to be classified as a novel species within the genus Halobacillus, for which the name Halobacillus marinus sp. nov. is proposed. The type strain is KGW1T (= DSM 29522 = JCM 30443).