Signature image recognition by shape context image matching

• Autorzy: Adamski M. , Saeed K.
• Języki publikacji: EN

Abstrakty

EN

This paper presents experiments on recognition of signature images. In preprocessing stage a thinning algorithm is used followed by a sampling technique. Sampled points are used to calculate shape context histograms and based on their values corresponding pairs of points from reference and tested signature objects are selected. A distance measure based on shape contexts is used to classify analysed signatures.

Słowa kluczowe

EN

signature recognition; shape contexts; thinning

PL

rozpoznawanie podpisu; przerzedzanie

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2007
• Tom: Vol. 11
• Strony: 89--95
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Adamski M.

• Białystok Technical University, Wiejska 45A, 15-351 Białystok, Poland

autor

Saeed K.

Bibliografia

• [1] ADAMSKI M., SAEED K, Heuristic Techniques for handwritten signature classification. International Scientific Journal of Computing, Vol. 5, No.2, s.87-92, Ternopil, Ukraine, 2006.
• [2] BELONGIE S., MALIK J., PUZICHA J., Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 4, pp. 509-522, 2002.
• [3] FERRER M. A., ALONSO J. B., TRAVIESO C. M., Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 6, pp. 993-997, 2005.
• [4] KEOGH E. J., PAZZANI M. J., Derivative Dynamic Time Warping. First SIAM International Conference on Data Mining Proceedings, pp. 187-194, Chicago, USA, 2001.
• [5] LAM L., LEE S.-W., SUEN C.Y., Thinning methodologies-a comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 14, No. 9, pp. 869-885, 1992
• [6] LEE L., BERGER T., AVICZER E., Reliable on-line Human Signature Verification Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18, No. 6, pp. 643-647, 1996.
• [7] MORI G, BELONGIE S., MALIK J., Efficient shape matching using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 11, pp. 1832- 1837, 2005.
• [8] PORWIK P., The compact three stages method of the signature recognition. Proceedings of the 6th International IEEE Conference Computer Information Systems and Industrial Management Applications, pp. 282-287, Poland, Ełk, 2007.
• [9] ROCKETT P. I., An improved rotation-invariant thinning algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, pp. 1671- 1674, 2005.
• [10] SAEED K., Efficient Method for On-Line Signature Verification. Proceedings of the International Conference on Computer Vision and Graphics - ICCVG'02, Vol. 2, pp. 25-29, Zakopane, Poland, 2002.
• [11] SAEED K., ADAMSKI M., Experimental Algorithm for Characteristic Points Evaluation in Static Images of Signatures. Biometrics, Computer Security Systems and Artificial Intelligence, pp. 89-98, Springer Science + Business Media, New York, USA 2006.
• [12] SAEED K., ADAMSKI M., Extraction of Global Features for Offline Signature Recognition. Image Analysis, Computer Graphics, Security Systems and Artificial Intelligence Applications, WSFiZ Press, pp. 429-436, 2005.
• [13] SAEED K., RYBNIK M., TABĘDZKI M., Implementation and advanced results on the non-interrupted skeletonization algorithm. CAIP’01, Lecture Notes in Computer Science, W. Skarbek (Ed.), LNCS 2124, Springer-Verlag, Heidelberg, 2001.
• [14] SANTOS C., JUSTINO E. J. R., BORTOLOZZI F., SABOURIN R., An Off-Line Signature Verification Method Based on the Questioned Document Expert's Approach and a Neural Network Classifier, Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, IEEE, pp. 498-502, Washington DC, USA, 2004.
• [15] WEIPING HOU, XIUFEN YE, KEJUN WANG, A survey of off-line signature verification, Proceedings of International Conference on Intelligent Mechatronics and Automation, IEEE, pp. 536-541, 2004.