Segmentation of financial seals and its implementation on a DSP-based system

Jin He; Tiegen Liu; Jingjing Guo; Hao Zhang

doi:10.1117/12.839695

18 November 2009 Segmentation of financial seals and its implementation on a DSP-based system

Jin He, Tiegen Liu, Jingjing Guo, Hao Zhang

Proceedings Volume 7512, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Information Security; 75120B (2009) https://doi.org/10.1117/12.839695
Event: International Conference on Optical Instrumentation and Technology, 2009, Shanghai, China

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.

Citation Download Citation

Jin He, Tiegen Liu, Jingjing Guo, and Hao Zhang "Segmentation of financial seals and its implementation on a DSP-based system", Proc. SPIE 7512, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Information Security, 75120B (18 November 2009); https://doi.org/10.1117/12.839695

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