Volume-4 , Issue-5 , Oct 2016, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  Offline Signature Verification Based on Image Processing and Hu Moment

  A.I. Abughfa, A.B. Elmadani

  Research Paper | Journal (IJSRNSC)

  Vol.4 , Issue.5 , pp.1-7, Oct-2016

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  Abstract
  In nowadays society e-business and e-commerce getting strong day to day in an open systems. Forgery is also getting rampant. Therefore a need of an automatic handwritten signature verification system (HSVS) becomes necessary to avoid unauthorized use of resources. One solution is to use a technological biometrics. Biometrics enables true identification or verification of an individual from their physical or behavioural (handwrite signature) characteristics based on their nature. This paper presents a signature authentication system based on using a digital image to authenticate signatures offline.

  Key-Words / Index Term
  HSVS, offline signature, verification, MSE, RMSE, Correlation Coefficient

  References
  [1] H. Kabir, “Offline Signature Verification using Local key point Features”, International Journal of Computer Applications, Vol. 1, No. 27, pp. 61-70, 2010.
  [2] SM. Odeh, M. Khalil, “Off-line signature verification and recognition: Neural Network Approach”, 2011 International Symposium on Innovations in Intelligent Systems and Applications, Istanbul, pp. 34-38, 2011.
  [3] J. Singh, M. Sharma, “A Survey on Offline Signature Recognition and Verification Schemes”, IOSR Journal of Electronics and Communication Engineering, Vol. 2, Issue,3, pp.34-38, 2011.
  [4] N. Nourain,B. Dawoud, S. Belhaouri, J. Janier, “ Fast Template Matching Method based Optimized Sum of Absolute Difference Algorithm for Face Localization”, International Journal of Computer Application, Vol.18, no.8, pp.30-34, 2011.
  [5] A. Nichal, S. Deshpande, “A High Capacity Data Hiding Method for JPEG2000 Compression System”, International Journal of Engineering Research and Applications, Vol.2, Issue.4, pp. 751-755, 2011.
  [6] SS. Kumar, K. Aruna, “Various Methods for Edge Detection in Digital Image Processing”, International Journal of Computer Science and Technology, Vol.2, Issue.2, pp.188-190, 2011.
  [7] CW. Lam, LM. Po, CH. Cheung, “A New Cross-Diamond Search Algorithm for Fast Block Matching Motion Estimation”, IEEE International Conference on Neural Networks and Signal Processing, China, pp.1262-1265, 2014.
  [8] P. Kumar, S. Singh, A. Garg, N. Prabhat, ”Hand Written Signature Recognition & Verification using Neural Network”, International Journal of Advanced Research in Computer Science and Software Engineering. Vol.3, Issue.3, pp.44-49, 2013.
  [9] MK. Randhawa, “Off-line Signature Verification based on Hu’s Moment Invariants and Zone Features using Support Vector Machine”, International Journal of Latest Trends in Engineering and Technology, Vol.1, Issue.3, pp.16-23, 2012.
  [10] J. Coetzer J. “Off-line signature verification”, Ph.D. Thesis from University of Stellenbosch, South Africa, pp.1-158, 2005.
  [11] A. McCabe, J. Trevathan, W. Read, “Neural network-based handwritten signature verification”, Journal of computers, vol.3, no.8, pp.9-22, 2008.
  [12] V. Kiani, R. Pourreza, HR. Pourreza, “Offline signature verification using local radon transform and support vector machines”, International Journal of Image Processing, Vol.3, No.5, pp. 184-194, 2009.
  [13] M. Radmehr, SM. Anisheh, I. Yousefian, “Offline Signature Recognition using Radon Transform”, International Journal of Computer Electrical Automation Control and Information Engineering, Vol.6, No.2, pp.264-268, 2012.
  [14] MJP. Priyadarsini, K. Murugesan, SR. Inbathini, A. Jabeena, KS. Tej, “Bank Cheque Authentication using Signature”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.3, Issue.5, pp.502-511, 2013.
  [15] M. Nijad, N. Sara, “Offline Handwritten Signature Verification System Using a Supervised Neural Network Approach”, 6th International Conference on Computer Science and Information Technology (CSIT), Jordan, pp.189-195, 2014.
  [16] KA. Vala, NP. Joshi, “A Survey on Off-line signature Recognition and Verification Schemes”, International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering, Vol.3, Issue.3, pp.7735-7740, 2014.
  [17] PV. Hatkar, BT. Salokhe, “Offline Handwritten Signature Verification Using Neural Network”, Journal of Information Knowledge and Research In electrical Engineering, Vol.3, Issue.2, pp.1-5, 2015.
  

  Citation
  A.I. Abughfa, A.B. Elmadani, "Offline Signature Verification Based on Image Processing and Hu Moment," International Journal of Scientific Research in Network Security and Communication, Vol.4, Issue.5, pp.1-7, 2016

• Open Access   Article

  Use of ICT in Agriculture

  V. Parashar

  Review Paper | Journal (IJSRNSC)

  Vol.4 , Issue.5 , pp.8-11, Oct-2016

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  Abstract
  Indian is a land of villages, almost 70% people lives in villages in India. Agriculture is the backbone of Indian economy and to strengthen it we have to use modern agricultural techniques. This paper proposes the use of Wireless sensors network and cloud computing to increase the production with least waste of resources and time. WSN monitors the soil moisture, pH, temperature and other important factors. It helps the farmers to understand the individual crop and its requirement. WSN make farmers to identify and use fertilizers, irrigation and other requirement at appropriate amount and time. WSN are itself capable of performing tasks like automatic irrigation and automatic sprinkling of fertilizers after analyzing the data gathered by it. Cloud computing application make farmer more smart and intelligent. WSN can be interface with a Cloud which stores data generated by sensor nodes. Cloud allows famer to check his a farm data anywhere in the world at any instance of time and the same data can be accessed by experts at different locations to advise appropriate measures to overcome the issues.

  Key-Words / Index Term
  Cloud Computing, pH value, Soil temperature, Soil moisture, Humidity, ATmega328

  References
  [1]. P. Patil, V. H., S. Patil, U. Kulkarni, “Wireless Sensor Network for Precision Agriculture”, 2011 International Conference on Computational Intelligence and Communication Networks, Gwalior, 2011, pp. 763-766.
  [2] M Hori, E Kawashima, T Yamazaki, “Application of cloud computing to agriculture and prospects in other”, fields Fujitsu Science and Technology Journal, Vol.46, Issue.4, pp.446-454, 2010.
  [3] PS. Devi, R. Periyasamy , “A Survey of An Operative Device Aimed at Crop Approximation in the Agricultural Subdivision”, International Journal of Computer Sciences and Engineering, Vol.3, Issue.11, pp.165-170, 2015.
  [4] N. Wang, N. Zhang, M. Wang, “Wireless sensors in agriculture and food industry-Recent development and future perspective”, Computers and Electronics in Agriculture, Vol.50, Issue.1, pp.1-14, 2006.
  [5]. R. Beckwith, D. Teibel and P. Bowen, “Report from the field: results from an agricultural wireless sensor network”, 29th Annual IEEE International Conference on Local Computer Networks, pp. 471-478, 2004.
  [6] IF Akyildiz, W Su, Y Sankarasubramaniam, E Cayirci, “Wireless sensor networks: a survey”, Computer Network, Vol.38, Issue.4, 393-422, 2002.
  [7] Xiu-Hong Li, Xiao Cheng, Ke Yan and Peng Gong, “A Monitoring System for Vegetable Greenhous Based on A wireless Sensor Network” , Sensors, Vol.10, Issue.10, pp.8963-80, 2010.
  [8] Y. Liu, C. Zhang and P. Zhu, “The temperature humidity monitoring system of soil based on wireless sensor networks”, 2011 International Conference on Electric Information and Control Engineering, Wuhan, pp. 1850-1853, 2011.
  [9] ZigBee Alliance, "ZigBee Specification", Version 1.0 ZigBee Document 053474r06", USA, pp.1-24, 2004.
  [10] M. Haefke, S. C. Mukhopadhyay and H. Ewald, “A Zigbee based smart sensing platform for monitoring environmental parameters”, 2011 IEEE International Instrumentation and Measurement Technology Conference, Binjiang, pp. 1-8, 2011.
  

  Citation
  V. Parashar, "Use of ICT in Agriculture," International Journal of Scientific Research in Network Security and Communication, Vol.4, Issue.5, pp.8-11, 2016

• Open Access   Article

  Comparative Study of AOMDV and AODV Routing based on Load Analysis in MANET

  Pradeep Chouksey

  Research Paper | Journal (IJSRNSC)

  Vol.4 , Issue.5 , pp.12-19, Oct-2016

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  Abstract
  Routing is very difficult in Mobile Ad hoc Network (MANET) because of changing the position of mobile nodes. The topology of the network is frequently changes and completely dynamic. In this paper we proposed a routing performance of AODV and AOMDV protocols in MANET. The AODV (Ad hoc On demand Distance Vector) protocol is the unipath routing protocol and forming established the route in on demand manner. The multipath protocol has an ability to balance the load of the network efficiently. The AOMDV (Ad hoc On demand Multipath Distance Vector) is the multipath routing protocol and established the more than two routes as the back-up route or alternative routes for data transmission and receiving in MANET. The alternative route presence is definitely improves the routing performance i.e. measures in this research. The performance of both the protocols are measured through maximum load handling, average load handling capability of nodes and routing performance is based on the packet delivery fraction, throughput and end-to-end delay. The performance of AOMDV protocol is better than the unipth AODV and also handle the load through distributed to alternative paths. The AOMDV provides the better routing performance as compare to AODV routing protocol.

  Key-Words / Index Term
  MANET, Routing, AODV, AOMDV, load balancing

  References
  [1] R. Kachal, S. Suri, "Comparative Study and Analysis of DSR, DSDVAND ZRP in Mobile Ad-Hoc Networks", International Journal of Computer Sciences and Engineering, Vol.2, Issue.5, pp.148-152, 2014.
  [2] H.D.Trung, W.Benjapolakul, P.M.Duc, “Performance evaluation and comparison of different ad hoc routing protocols”, Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand, May 2007
  [3] Z. J. Haas and M. R. Pearlman, “The Performance of Query Control Schemes for the Zone Routing Protocol”, ACM/IEEE Trans. Net. 9 (August 2001)
  [4] Rajesh Sl, Somashekar C Desai & Ramakrishna Kt “Performance Evaluation Of Aodv And Aomdv Routing Protocols In Wireless Mesh Network” 2319 - 2526, Volume-2, Issue - 6, 2013.
  [5] Umesh Kumar Singh, Jalaj Patidar and Kailash Chandra Phuleriya, "On Mechanism to Prevent Cooperative Black Hole Attack in Mobile Ad Hoc Networks", International Journal of Scientific Research in Computer Science and Engineering, Vol.3, Issue.1, pp.11-15, 2015.
  [6] Pooja Dahiya, Gunjan Madan, Reema Gupta “Performance Evaluation Of Aodv And Aomdv On The Basis Of Throughput” International Journal of Computer Science and Mobile Computing, Vol.3 Issue.9, September- 2014, pg. 277-283.
  [7] Neha Gupta, Dr. Harish Chaudhary, Umang Garg “Simulation Of Aodv & Aomdv Using Scmac & Proposed Solution To Improve Throughput In Manet” International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June-2013.
  [8] Mina Vajed Khiavi, Shahram Jamali “Performance Comparison of AODV and AOMDV Routing Protocols in Mobile Ad Hoc Networks”, International Research Journal of Applied and Basic Sciences © 2013.
  [9] M. Nagendra, B. Kondaiah, "A Comparison and Performance Evaluation of On-Demand Routing Protocols for Mobile Ad-hoc Networks", International Journal of Computer Sciences and Engineering, Vol.2, Issue.5, pp.15-19, 2014.
  [10] P. Jammulaiah, Dr.P. Chenna Reddy “Simulation and Comparison of AOMDV, AODV and DSR in Manets”, Volume 2, No.6, International Journal of Networks and Systems October - November 2013.
  [11] Rajeswari. K, Vimala. S “Performance evaluation of AODV, AOMDV, GPSR, and APU in MANETS” International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-2, Issue-12, December 2014.
  [12] Leena Pal, Pradeep Sharma, Netram Kaurav and Shivlal Mewada, "Performance Analysis of Reactive and Proactive Routing Protocols for Mobile Ad-hoc –Networks", International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.5, pp.1-4, 2013.
  [13] R.Balakrishna, U. Rajeswar Rao , N.Geethanjali N “Performance issues on AODV and AOMDV for MANETS” International Journal of Computer Science and Information Technologies, Vol. 1 (2) , 2010, 38-43.
  [14] M. Kumar, Muskan, Rohtash, “Security Challenges in Routing Protocols and a Proposed Schema in MANET”, International Journal of Computer Sciences and Engineering, Vol.2, Issue.8, pp.39-44, 2014.
  Brahm Prakash Dahiya “Performance Analysis and Evaluation of AODV & AOMDV in MANET” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 3, Issue 1, January 2014.
  

  Citation
  Pradeep Chouksey, "Comparative Study of AOMDV and AODV Routing based on Load Analysis in MANET," International Journal of Scientific Research in Network Security and Communication, Vol.4, Issue.5, pp.12-19, 2016