Method for compressing fingerprint direction quantized diagram to embedded system
An embedded system, quantization compression technology, applied in image coding, image data processing, character and pattern recognition, etc., can solve problems such as difficult to meet the requirements of embedded automatic fingerprint recognition system, large storage space, etc.
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[0015] The operation process of the method for quantizing and compressing fingerprint orientation graphs oriented to embedded systems will be further described below through embodiments. As shown in Figure 1, the specific implementation steps of the direction map quantization and compression storage are as follows:
[0016] (1-1) Determine the quantization level and segment bit storage parameter N. If the maximum number of bits used to store the direction field data is recorded as N, then the quantization level of the direction field data is 2 N . According to the accuracy requirements of the algorithm and the capacity requirements of the template, we need to find a compromise between quantization accuracy and compression efficiency. Generally, N can be selected to be equal to 3, 4, 5 or 6.
[0017] (1-2) Quantization of pattern data. The angle of the block orientation field is normalized to an integer range by quantization. The angle θ of the direction field is generally ...
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