1,721,411 research outputs found
Model-based stroke extraction and matching for handwritten Chinese character recognition
This paper proposes a model-based structural matching method for handwritten Chinese character recognition (HCCR). This method is able to obtain reliable stroke correspondence and enable structural interpretation. In the model base, the reference character of each category is described in an attributed relational graph (ARG). The input character is described with feature points and line segments. The strokes and inter-stroke relations of input character are not determined until being matched with a reference character, The structural matching is accomplished in two stages: candidate stroke extraction and consistent matching. All candidate input strokes to match the reference strokes are extracted by line following and then the consistent matching is achieved by heuristic search. Some structural postprocessing operations are applied to improve the stroke correspondence. Recognition experiments were implemented on an image database collected in KAIST, and promising results have been achieved. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved
Multiresolution locally expanded HONN for handwritten numeral recognition
In this paper, we propose a neural network architecture, multiresolution locally expanded high order neural network (MRLHONN) to solve the problem of handwritten numeral recognition. In this recognition scheme, the multiresolution representation of character image is input into a high order neural network (HONN), while in each resolution, only neighboring pixels are expanded to produce high order input. The property of this architecture is that, the local expansion alleviate the problem of large connecting weight set, and the multiresolution representation remedy the inadequacy of local expansion. Two forms of multiresolution representations, quadtree representation and Gaussian pyramid, were used in experiments. The recognition results demonstrate the efficiency of the proposed architecture. (C) 1997 Elsevier Science B.V
Theoretical analysis on the geometries and electronic structures of fluorene-based conjugated polymers
High accuracy handwritten Chinese character recognition by improved feature matching method
Non-volatile Memory Devices Based on Polystyrene Derivatives with Electron-Donating Oligofluorene Pendent Moieties
Full Color Light-Emitting Electrospun Nanofibers Prepared from PFO/MEH-PPV/PMMA Ternary Blends
Synthesis and Properties of New Small Band Gap Conjugated Polymers: Methine Bridged Poly(3,4-ethylenedioxypyrrole)
Urea biosensor based on an extended-base bipolar junction transistor
[[abstract]]In this study, a urea biosensor was prepared by the immobilization of urease onto the sensitive membrane of an extended-base bipolar junction transistor. The pH variation was used to detect the concentration of urea. The SnO2/ITO glass, fabricated by sputtering SnO2 on the conductive ITO glass, was used as a pH-sensitive membrane, which was connected with a commercial bipolar junction transistor device. The gels, fabricated by the poly vinyl alcohol with pendent styrylpyridinium groups, were used to immobilize the urease. This readout circuit, fabricated in a 0.35-um CMOS 2P4M process, operated at 3.3V supply voltage. This circuit occupied an area of 1.0 mm x 0.9 mm. The dynamic range of the urea biosensor was from 1.4 to 64 mg/dl at the 10 mM phosphate buffer solution and the sensitivity of this range was about 65.8 mV/pUrea. The effect of urea biosensors with different pH values was considered, and the characteristics of urea biosensors based on EBBJT were described.[[note]]SC
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