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- W2019977386 abstract "Automatic seal imprint identification is an important part of modern financial security. Accurate segmentation is the basisof correct identification. In this paper, a DSP (digital signal processor) based identification system was designed, and anadaptive algorithm was proposed to extract binary seal images from financial instruments. As the kernel of theidentification system, a DSP chip of TMS320DM642 was used to implement image processing, controlling andcoordinating works of each system module. The proposed algorithm consisted of three stages, including extraction ofgrayscale seal image, denoising and binarization. A grayscale seal image was extracted by color transform from afinancial instrument image. Adaptive morphological operations were used to highlight details of the extracted grayscaleseal image and smooth the background. After median filter for noise elimination, the filtered seal image was binarized byOtsu's method. The algorithm was developed based on the DSP development environment CCS and real-time operationsystem DSP/BIOS. To simplify the implementation of the proposed algorithm, the calibration of white balance and thecoarse positioning of the seal imprint were implemented by TMS320DM642 controlling image acquisition. IMGLIB ofTMS320DM642 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 andincompleteness distortions in the segmentation results were reduced, even when the original seal imprint had a poorquality." @default.
- W2019977386 created "2016-06-24" @default.
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- W2019977386 date "2009-11-04" @default.
- W2019977386 modified "2023-09-26" @default.
- W2019977386 title "Segmentation of financial seals and its implementation on a DSP-based system" @default.
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- W2019977386 doi "https://doi.org/10.1117/12.839695" @default.
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