CFP last date
22 April 2024
Reseach Article

An Advanced Door Lock Security System using Palmtop Recognition System

by Kawser Wazed Nafi, Tonny Shekha Kar, Sayed Anisul Hoque
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 17
Year of Publication: 2012
Authors: Kawser Wazed Nafi, Tonny Shekha Kar, Sayed Anisul Hoque
10.5120/8983-3008

Kawser Wazed Nafi, Tonny Shekha Kar, Sayed Anisul Hoque . An Advanced Door Lock Security System using Palmtop Recognition System. International Journal of Computer Applications. 56, 17 ( October 2012), 18-26. DOI=10.5120/8983-3008

@article{ 10.5120/8983-3008,
author = { Kawser Wazed Nafi, Tonny Shekha Kar, Sayed Anisul Hoque },
title = { An Advanced Door Lock Security System using Palmtop Recognition System },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 17 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 18-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number17/8983-3008/ },
doi = { 10.5120/8983-3008 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:06.225743+05:30
%A Kawser Wazed Nafi
%A Tonny Shekha Kar
%A Sayed Anisul Hoque
%T An Advanced Door Lock Security System using Palmtop Recognition System
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 17
%P 18-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometric technology is used to identify a person based on his/her physical behavioral characteristics. One of the extensive uses of biometric technology is a fingerprint recognition system. The technology has broad use mainly for its easiness, reliability and accuracy in human identification process. This paper presents work done on minutiae based palmtop recognition system for automatic door open and locking system. Here, the palmtop recognition system works by taking an image of the person, partitioning it, processing it and finally verifying the person. This system provides input for an electric circuit. The circuitry system consists of two unique states; door open and door lock. The whole system basically uses extensive Image processing for minutiae based palmtop recognition. Thus reducing the probability of error in human recognition and solves maximum problems of fingerprint recognition. This paper shows a better solution for recognizing people, which helps to solve security related problems in human life.

References
  1. Bowman, M. , Debray, S. K. , and Peterson, L. L. 1993. Reasoning about naming systems.
  2. Zdenek Ríha and Václav Matyáš, "Biometric Authentication Systems" , FI MU Report Series, November, 2000
  3. Zden?ek, Ríha, "Integrating Biometric Application into Multiple Applicants", Master Thesis, University of Pretoria, October 2005.
  4. James Wayman, Anil Jain, Davide Maltoni and Dario Maio, "An Introduc tion to Biometric Authentication Systems", Chapter 1 • An Introduction to Biometric Authentication Systems, 2004
  5. S V Sheela and K R Radhika, "Boimetric Authentication using Nonparametric Methods", International Journal of Computer Science and Information Technology, Volume 2, Number 3, June 2010
  6. Uwe Bubeck, Dina Sanchez, "Biometric Authentication - Technology and Evaluation -", San Diego State University, Spring 2003
  7. Sheng Zhang, Rajkumar Janakiraman, Terence Sim, and Sandeep Kumar, "Continuous Verification Using Multimodal Biometrics", Springer-Verlag Berlin Heidelberg, ICB 2006 LNCS 3832, pp. 562–570, 2005.
  8. Eric J. Lerner, "Biometric Identification", American Institute of Physics, 2000
  9. Subcommittee of Biometrics, "Fingerprint Recognition", National Science and Technology Council, August, 2006
  10. Anil Jain, Sharath Pankanti," Fingerprint Classification and Matching", 2000
  11. RAVI. J, K. B. RAJA, VENUGOPAL. K. R, "FINGERPRINT RECOGNITION USING MINUTIA SCORE MATCHING", International Journal of Engineering Science and Technology, Vol. 1(2), 2009, 35-42
  12. Hourieh Fakourfar, Serge Belongie "FINGERPRINT RECOGNITION System Performance in the Maritime Environment", ONR MURI Grant #N00014-08-1-0638 and NSF CAREER Grant #0448615, 2008
  13. NEETA MURMU, ABHA OTTI, "FINGERPRINT RECOGNITION", M. ScThesis, National Institute of Technology, 2008
  14. Jonathan J. Koehler, "Fingerprint Error Rates and Proficiency Tests: What They Are and Why They Matter", HASTINGS LAW JOURNAL [Vol. 59:1077], pg 1077-1100.
  15. Muhammad Sheikh Sadi, Shaikh Anisuzzaman and Manik Bhakta, "A NEW ALGORITHM TO COMPUTE DIRECTIONAL FIELDS AND SINGULAR POINTS FROM A FINGERPRINT", 3rd International Conference on Electrical & Computer Engineering, ICECE 2004, 28-30, December 2004, Dhaka, Bangladesh
  16. Ron F Stewart, Matt Estevao, Andy Adler, "Fingerprint recognition performance in rugged outdoors and cold weather conditions", 2008
  17. Doo-Hyun Kim and R ae-Hong Park, "Fingerprint Binariza tion Using Convex Threshold", 2003
  18. Anil Jain, Karthik Nandakumar, Arun Ross, "Score normalization in multimodal biometric systems", 2005 Pattern Recognition Society. Published by Elsevier Ltd, Pattern Recognition 38 (2005) 2270–2285
  19. Raffaele Cappelli, Dario Maio, James L. Wayman, and Anil K. Jain, "Performance Evaluation of Fingerprint Verification Systems", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 28, NO. 1, JANUARY 2006
  20. ?ukasz WI?C?AW, "A MINUTIAE-BASED MATCHING ALGORITHMS IN FINGERPRINT RECOGNITION SYSTEMS", JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 13/2009, ISSN 1642-6037
  21. Lin Hong, Anil Jain, Sharath Pankanti, Ruud Bolle, "Identity Authentication using fingerprints", 1999
  22. Sebastian Abt, "Assessing Semantic Conformance of Minutiae-based Feature Extractors", M. Sc Thesis, 2011
  23. DHOLE S. A. AND PATIL V. H. , "MINUTIAE BASED FINGERPRINT IDENTIFICATION", ISSN: 0976-8882 & E-ISSN: 0976-8890, Volume 3, Issue 3, 2012, pp. -122-125.
  24. Kai Cao, Xin Yang, Xunqiang Tao, Peng Li, Yali Zang, Jie Tian, "Combining features for distorted fingerprint matching", Journal of Network and Computer Applications 33 (2010) 258–267
  25. R. N. Verma, D. S. Chauhan, "Effect of Pressure Variation on the Fingerprint Minutiae Based Feature Vector Matching", World of Computer Science and Information TechnologyJournal (WCSIT), ISSN: 2221-0741, Vol. 1, No. 9, 376-379, 2011
  26. Dibyendu Nath, Saurav Ray, Sumit Kumar Ghosh, "Fingerprint Recognition System : Design & Analysis", 2011
  27. Tudor BARBU, "FINGERPRINT MATCHING APPROACH USING A NOVEL METRIC", U. P. B. Sci. Bull. , Series A, Vol. 73, Iss. 2, 2011, ISSN 1223-7027
  28. Davit Kocharyan, Hakob Sarukhanyan, "Feature Extraction Techniques and Minutiae-Based Fingerprint Recognition Process", Young scientists' research support program – 2010.
  29. Naser Zaeri, "Minutiae-based Fingerprint Extraction and Recognition", Thesis paper, Arab Open University, Kuwait, 2011
  30. Kai Cao, Xin Yang, Xinjian Chen, Xunqiang Tao, Yali Zang, Jimin Liang, Jie Tian, "Minutia handedness: A novel global feature for minutiae-based fingerprint matching", Pattern Recognition Letters 33 (2012) 1411–1421
  31. Sozan Abdullah Mahmood, "Fingerprint identification Based on Skeleton Minutiae extraction", ICGST Conference, Dubai, UAE, 12-14 April 2011 AIML-11
  32. Krithika Venkataramani , Vaibhav Kumar Singh, "Fingerprint Identification : A brief literary review", 2011
  33. Uday Rajanna,Æ Ali Erol ,Æ George Bebis, "A comparative study on feature extraction for fingerprint classification and performance improvements using rank-level fusion", Pattern Anal Applic DOI 10. 1007/s10044-009-0160-3.
  34. Haiyun Xu, Raymond N. J. Veldhuis, Tom A. M. Kevenaar, and Ton A. H. M. Akkermans, "A Fast Minutiae-Based Fingerprint Recognition System", IEEE SYSTEMS JOURNAL, VOL. 3, NO. 4, DECEMBER 2009, pg 418-427
  35. Jucheng Yang, "Non-minutiae Based Fingerprint Descriptor", Biometrics, 79-98, 2010
  36. Shashi Kumar D R, K B Raja, R K Chhotaray, Sabyasachi Pattanaik, "DWT Based Fingerprint Recognition using Non Minutiae Features", IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 2, March 2011, ISSN (Online): 1694-0814
  37. Ion Iancu, Nicolae Constantinescu, Mihaela Colhon, "Fingerprints Identification using a Fuzzy Logic System", Int. J. of Computers, Communications & Control, ISSN 1841-9836, E-ISSN 1841-9844, Vol. V (2010), No. 4, pp. 525-531
  38. Pravesh Kumar, "Use of fuzzy set and Neural network to extract Fingerprint Minutiae points and Location", M. Sc Thesis, 2009
  39. K. Srinivasan, C. Chandrasekar, "An Efficient Fuzzy Based Filtering Technique for Fingerprint Image Enhancement", American Journal of Scientific Research, ISSN 1450-223X Issue 43 (2012), pp. 125-140
  40. Radu Florin Miron, "Distributed Fingerprint Identification System", Ph. D Thesis, 2010
  41. T. C. Raja Kumar, S. Arumuga Perumal, N. Krishnan, and S. Kother Mohideen, "Fuzzy-based Histogram Modeling for Fingerprint Image Binarization", International Journal of Research and Reviews in Computer Science (IJRRCS), Vol. 2, No. 5, October 2011, ISSN: 2079-2557
  42. S. M. S. Piyarathana and R. D. Yapa, "Fingerprint Image Segmentation using Fuzzy Logic", Proceedings of the Peradeniya University Research Sessions, Sri Lanka, Vol. 16, 24th , November 2011
  43. Dr. S. Arumuga Perumal, T. C. Rajakumar, Dr. N. Krishnan, "Fuzzy based Filtering Approach on Histogram Specification for Fingerprint Image Enhancement", International Journal of Computer Applications (0975 – 8887), Volume 23– No. 8, June 2011
  44. Dimple Parekh, Rekha Vig, "Survey on Parameters of Fingerprint Classification Methods Based On Algorithmic Flow", International Journal of Computer Science & Engineering Survey (IJCSES) Vol. 2, No. 3, August 2011
  45. DIMPLE A. PAREKH AND REKHA VIG, "REVIEW OF FINGERPRINT CLASSIFICATION METHODS BASED ON ALGORITHMIC FLOW", Journal of Biometrics, ISSN: 2229–6689 & E'ISSN: 2229–6697, Vol. 2, Issue 1, 2011, PP'20'23
  46. M. H. Kondekar, U. V. Kulkarni, B. B. M. Krishna Kanth, "Extended Fuzzy Hyperline Segment Neural Network for Fingerprint Recognition", International Journal of Biometrics and Bioinformatics (IJBB), Volume (5) : Issue (3), 2011
  47. Kondekar, Uday Kulkarni and Santosh Chowhan, "A Fuzzy Neural Clustering approach fo Fingerprint Recognition", IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, No 2, September 2011, ISSN (Online): 1694-0814.
  48. S. Uma Maheswari, Dr. E. Chandra, "A Review Study on Fingerprint Classification Algorithm used for Fingerprint Identification and Recognition", IJCST Vol -3, Issue 1, Jan . - March 2012, ISSN : 2229-4333 (Print)
  49. Divyakant T. Meva, C. K. Kumbharana, Amit D. Kothari, "The Study of Adoption of Neural Network Approach in Fingerprint Recognition", International Journal of Computer Applications (0975 – 8887) Volume 40– No. 11, February 2012
  50. Josef Str¨om Bart?un?ek, "Minutiae Extraction from Fingerprint with Neural Network and Minutiae based Fingerprint Verification", M. Sc Thesis, 2005
  51. Divyakant T. Meva, C. K. Kumbharana, Amit D. Kothari, "The Study of Adoption of Neural Network Approach in Fingerprint Recognition", International Journal of Computer Applications, Volume 40 - Number 11, 2012.
  52. Jha, A. K. , Narasimham, S. , Krishna, S. S. , Pillai, V. P. M. ," A neural network based approach for fingerprint recognition system", Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2010, pg: 808-812.
  53. Suksan Jirachaweng, Vutipong Areekul, Zujun Hou, Hwee-Keong Lam and Wei-Yun Yau, "Singular Region Tracking for Fing erprint Singular Point Detection", 2010 The 3rd International Conference on Machine Vision (ICMV 2010), 572-575.
  54. Navrit Kaur Johal, Prof. Amit Kamra, "A Novel Method for Fingerprint Core Point Detection", International Journal of Scientific & Engineering Research Volume 2, Issue 4, April- 2011, ISSN 2229-5518, pg 1-6
  55. M. Ezhilarasan, D. Suresh Kumar, S. Santhanakrishnan, S. Dhanabalan and A. Vinod, "Person Identification Using Fingerprint by Hybridizing Core Point and Minutiae Features", (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 09, 2010, 3075-3078.
  56. Kalyani Mali, Samayita Bhattacharya, "Fingerprint Recognition Using Global and Local Structures", International Journal on Computer Science and Engineering (IJCSE), Vol. 3 No. 1 Jan 2011
  57. Zia Saquib, Santosh Kumar Soni, Sweta Suhasaria, Dimple Parek, Rekha Vig," A Fault–Tolerant Approach for Detection of Singular Points in Noisy Fingerprint Images", IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 2, March 2011, ISSN (Online): 1694-0814
  58. H B Kekre, V A Bharadi, "Fingerprint Core Point Detection Algorithm Using Orientation Field Based Multiple Features", International Journal of Computer Applications (0975 -8887), Volume 1 – No. 15
  59. Dawei Weng, Yilong Yin, Dong Yang, "Singular points detection based on multi-resolution in fingerprint images", Neurocomputing 74 (2011) 3376–3388
  60. Tong Liu, Guocai Zhu, Chao Zhang and Pengwei Hao, "Fingerprint Indexing Based on Singular Point Correlation", 2005 IEEE, pg: 293-296.
  61. JING -WEIN WANG AND WEN-YUAN CHEN, "Genetic Optimization of Fingerprint Recognition Based on Core Sub-Region", JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 25, 303-317 (2009)
  62. Matheus Giovanni Pires, Fernando Vieira Duarte, Adilson Gonzaga, "Genetic Optimization for Fingerprint Verification", 2006
  63. Jihad jaam, Mohammad Rebaiaia, Ahmad hasnah, "A fingerprint minutiae recognition system based on genetic algorithm", International Arab Journal of Information Technology, Vol 3, No 3, 2006
  64. P. Devi, M. Manju, V. Kavitha, "A hybrid Fuzzy rule based Neuro-Genetic approach for fingerprint recognition system", Advanced Computing (ICoAC), 2010, pg – 1-8
  65. Wang Yongxu, Ao Xinyu, Du Yuanfeng, Li Yongping, "A Fingerprint Recognition Algorithm Based on Principal Component Analysis", TENCON 2006, IEEE Region 10 Conference, pg 1-4
  66. Keming Mao, Guoren Wang, Yan Jin, Changyong Yu,"Using Genetic Algorithms for Fingerprint Core Point Detection", International Conference on Fuzzy Systems and Knowledge Discovery, 2009, Volume: 4 pg: 20 – 24
  67. Yezeng Cheng and Kirill V. Larin, "Artificial fingerprint recognition by using optical coherence tomography with autocorrelation analysis", APPLIED OPTICS, Vol. 45, No. 36, 20 December 2006
  68. Haiyun Xu and Raymond N. J. Veldhuis, "Complex Spectral Minutiae Representation For Fingerprint Recognition", 2009
  69. Mauro Barni, Tiziano Bianchi, Dario Catalano, Mario Di Raimondo, Ruggero Donida Labati, Pierluigi Failla, Dario Fiore, Riccardo Lazzeretti, Vincenzo Piuri, Alessandro Piva, Fabio Scotti, "A Privacy-compliant Fingerprint Recognition System Based on Homomorphic Encryption and Fingercode Templates", 2010
  70. Xunqiang Tao, Xinjian Chen, Xin Yang, Jie Tian, "Fingerprint Recognition with Identical Twin Fingerprints", PLoS ONE 7(4): e35704. doi:10. 1371/journal. pone. 0035704, 2012
  71. Shabana Tadvi, (Dr. ) Prof. Mahesh Kolte, "A Hybrid System for Fingerprint Identification", (IJCSE) International Journal on Computer Science and Engineering, Vol. 02, No. 03, 2010, 767-771
  72. Dayashankar Singh, Dr. P. K. Singh, Dr. R. K. Shukla, "Fingerprint Recognition System Based on Mapping Approach", International Journal of Computer Applications (0975 – 8887), Volume 5– No. 2, August 2010
  73. Arjun V Mane, Yogesh S Rode, K V Kale, "Novel Multiple Impression based Multimodal Fingerprint Recognition System", International Journal of Computer Applications (0975 – 8887) Volume 27– No. 8, August 2011.
  74. Chapter 22, Pc Serial port
  75. Datasheet, 8-bit Microcontroller with 4K Bytes Flash, AT 89c51
  76. Datasheet, MAXX Multichannel RS-232 Drivers/Receivers
  77. Kevin R. Sullivan, "Understanding Relays", Auto shop 101. com
  78. DataSheet:- MIC2782 Relay
  79. Bo Fidé, "Electromagnetic Field Theory", second edition.
  80. Silvanus Phillips Thompson, The Electromagnet and Electromagnetic Mechanism, 2011
Index Terms

Computer Science
Information Sciences

Keywords

Biometric recognition Fingerprint recognition Minutiae extraction Palmtop recognition