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A GUI for Automatic Extraction of Signature from Image Document

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 54 - Number 15
Year of Publication: 2012
Authors:
Chandra Mohan Gautam
Sanjeev Sharma
Jitendra Singh Verma
10.5120/8641-2399

Chandra Mohan Gautam, Sanjeev Sharma and Jitendra Singh Verma. Article: A GUI for Automatic Extraction of Signature from Image Document. International Journal of Computer Applications 54(15):13-19, September 2012. Full text available. BibTeX

@article{key:article,
	author = {Chandra Mohan Gautam and Sanjeev Sharma and Jitendra Singh Verma},
	title = {Article: A GUI for Automatic Extraction of Signature from Image Document},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {54},
	number = {15},
	pages = {13-19},
	month = {September},
	note = {Full text available}
}

Abstract

A New method for Extracting signature from image document is proposed based on the auto cropping method. This method improves the performance of security system based on signature images as well as provides the region of interest of the used image for the biometric system. This method also reduces the time cost associated with signature detection. Region of Interest in an image document is taking attention in research area. In this method, the signature document image converted into the binary image. This Binary image is normalized (resize) the signature image. To show the signature effective areas in signature image resizing may be required. Now we are performing Adaptive thresholding because it dynamically set all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value over the signature document image. This signature document image has some discontinuity between the pixels to remove this discontinuity we are using morphology. This morphological method uses bridge to connect the pixels and remove operator to remove the interior pixel region. The remaining pixel makes the signature image skeleton. This skeleton is used to select the signature Region of Interest (ROI) using auto cropping method. Auto cropping is the fast procedure to select the ROI. In this auto cropping method we are using Image Station Automatic Elevations (ISAE) technique to select the connected pixel which sizes are greater than 250 pixels. This cropped signature has no garbage region it crops only the ROI of signature image. This method takes less processing time then other methods. To extract the features of cropped image we are using the 'Sobel' edge detection to identify the points in a digital image at which the image brightness changes sharply or, more formally has discontinuities.

References

  • Fang, B. "Off-line signature verification with generated training samples" in IEEEProc. Vis. Image and Signal Processing. 2002.
  • Plamondon, R. and G. Lorette, "Automatic signature verification and writer identification: The state of the art. Pattern Recognition" 22(2): p. 107-131. 1989
  • Abuhaiba, I. S. , "Offline Signature Verification Using Graph Matching". Turk. J. Elec. Engin,. 15(1): p. 89-104. 2007
  • K?vári, B. "Extraction of Dynamic Features for Off-line Signature Analysis". in Automation and Applied Computer Science Workshop (AACS). 2007.
  • Santosh, K. and N. Cholwich, "A Comprehensive Survey on On-Lie Handwriting Recognition Technology and its Real Application to the Nepalese Natural Handwriting". Kathmandu University Journal of Science, Engineering and Technology. 5(1): p. 31-55. 2009
  • Fierrez-Aguilar, J. , Alonso-Hermira, N. , Moreno-Marquez, G. , Ortega-Garcia, J. , "An off-line signature verification system based on fusion of local and global information". Proc. of BIOAW, Springer LNCS-3087, p. 295–306. 2004
  • Jason Forshaw, Ryan Volz, "Region of Interest Identification in Breast MRI Images", Applied Computer Science Workshop (AACS). 2005.
  • Shih-Yin Ooi, Andrew Beng-Jin Teoh, Thian-Song Ong "Offline Signature Verification through Biometric Strengthening", 1-4244-1300-1/07 IEEE. 2007
  • Miguel A. Ferrer, Jesu´s B. Alonso, Carlos M. Travieso "Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic", IEEE Transactions On Pattern Analysis And Machine Intelligence, VOL. 27, NO. 6, JUNE 2005
  • Derek Bradley, Gerhard Roth, "Adaptive Thresholding Using the Integral Image", Currently at The University of British Columbia. 2006
  • MamtaJuneja ,Parvinder Singh Sandhu, "Performance Evaluation of Edge Detection Techniques for Images in Spatial Domain", International Journal of Computer Theory and Engineering, Vol. 1, No. 1793-8201. 5, December, 2009
  • John C. Russ, "The Image Processing Handbook", 3rd edition CRC Press 1999
  • Xiaoqing Liu and JagathSamarabandu, "An Edge-based text region extraction algorithm for Indoor mobile robot navigation" Proceedings of the IEEE, July 2005.
  • www. intergraph. com and www. hexagon. com.
  • Gonzalez, R. C. , R. E. Woods, and S. L. Eddins, "Digital Image Processing USING MATLAB". : Pearson Prentice Hall . 2004
  • Vamsi Krishna Madasu, Mohd. HafizuddinMohd. Yusof, M. Hanmandluß, KurtKubik Automatic Extraction of Signatures from BankCheques and other Documents. 2003