Share Email Print

Proceedings Paper

Segmentation of financial seals and its implementation on a DSP-based system
Author(s): Jin He; Tiegen Liu; Jingjing Guo; Hao Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Automatic seal imprint identification is an important part of modern financial security. Accurate segmentation is the basis of correct identification. In this paper, a DSP (digital signal processor) based identification system was designed, and an adaptive algorithm was proposed to extract binary seal images from financial instruments. As the kernel of the identification system, a DSP chip of TMS320DM642 was used to implement image processing, controlling and coordinating works of each system module. The proposed algorithm consisted of three stages, including extraction of grayscale seal image, denoising and binarization. A grayscale seal image was extracted by color transform from a financial instrument image. Adaptive morphological operations were used to highlight details of the extracted grayscale seal image and smooth the background. After median filter for noise elimination, the filtered seal image was binarized by Otsu's method. The algorithm was developed based on the DSP development environment CCS and real-time operation system DSP/BIOS. To simplify the implementation of the proposed algorithm, the calibration of white balance and the coarse positioning of the seal imprint were implemented by TMS320DM642 controlling image acquisition. IMGLIB of TMS320DM642 was used for the efficiency improvement. The experiment result showed that financial seal imprints, even with intricate and dense strokes can be correctly segmented by the proposed algorithm. Adhesion and incompleteness distortions in the segmentation results were reduced, even when the original seal imprint had a poor quality.

Paper Details

Date Published: 18 November 2009
PDF: 10 pages
Proc. SPIE 7512, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Information Security, 75120B (18 November 2009); doi: 10.1117/12.839695
Show Author Affiliations
Jin He, Tianjin Univ. (China)
Tiegen Liu, Tianjin Univ. (China)
Jingjing Guo, Tianjin Univ. (China)
Hao Zhang, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 7512:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Information Security
Cunlin Zhang; Tiegen Liu, Editor(s)

© SPIE. Terms of Use
Back to Top