将指纹图像转换为Java模板

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英文:

Convert Fingerprint Image to Template with Java

问题

我正在尝试将一个格式为jpg的指纹图像转换为模板,使用的是SourceAFIS库https://sourceafis.machinezoo.com/。但我收到了一些看起来不像模板(Minutiae数据)的字节,有什么建议可以实现这个目标?

File[] images = directory.listFiles();
File desiredfile = null;
for (File file : images) {
    if (file.getName().equals("images.jpg")) {
        desiredfile = file;
        break;
    }
}
FingerprintTemplate template = null;
if (android.os.Build.VERSION.SDK_INT >= android.os.Build.VERSION_CODES.O) {
    template = new FingerprintTemplate(
        new FingerprintImage(
            Files.readAllBytes(desiredfile.toPath()),
            new FingerprintImageOptions().dpi(500)));
}
fileLogger.log("template " + template.toByteArray());

结论
似乎Minutiae数据是隐藏的,我们无法看到实际的字节,该库旨在使用模板对象进行匹配过程。

英文:

I am trying to convert a fingerprint image with format jpg to a template using the library
SourceAFIS
https://sourceafis.machinezoo.com/

But I am receiving a few bytes that doesn't look like template (Minutiae data), any suggestions to achieve this goal?

   File[] images = directory.listFiles();
            File desiredfile = null;
            for (File file : images) {
                if (file.getName().equals("images.jpg")) {
                    desiredfile = file;
                    break;
                }
            }
     FingerprintTemplate template = null;
                        if (android.os.Build.VERSION.SDK_INT >= android.os.Build.VERSION_CODES.O) {
                            template = new FingerprintTemplate(
                                    new FingerprintImage(
                                            Files.readAllBytes(desiredfile.toPath()),
                                            new FingerprintImageOptions()
                                                    .dpi(500)));
                        }
                        fileLogger.log("template " + template.toByteArray());

Conclusion:
It seems the minutiae data is hidden and we can not see the actual bytes, the library aims to use the template object for matching process.

答案1

得分: 1

请确保代码如下所示。

public class FingerprintConverter {
    public static void main(String[] args) {
        // 用实际的图像文件路径替换 "path/to/fingerprint/images.jpg"
        String imagePath = "path/to/fingerprint/images.jpg";
        
        Path imagePath = Paths.get(imagePath);
        if (!Files.exists(imagePath) || !Files.isRegularFile(imagePath) || !Files.isReadable(imagePath)) {
            System.err.println("无效的图像文件: " + imagePath);
            return;
        }

        try {
            byte[] imageBytes = Files.readAllBytes(imagePath);

            // 步骤 3: 提取指纹模板
            FingerprintImage fingerprintImage = new FingerprintImage(
                    imageBytes,
                    new FingerprintImageOptions().dpi(500)
            );

            FingerprintTemplate template = new FingerprintTemplate(fingerprintImage);

            // 记录模板信息
            System.out.println("模板大小: " + template.toByteArray().length + " 字节");

        } catch (IOException e) {
            System.err.println("读取图像文件时出错: " + e.getMessage());
        }
    }
}
英文:

Code should be like this.

Make sure to replace "path/to/fingerprint/images.jpg" with the actual path to your fingerprint image. The code now includes error handling for file-related operations and logs the template size to the console.

public class FingerprintConverter {
        public static void main(String[] args) {
            // Replace "path/to/fingerprint/images.jpg" with the actual image file path
            String imagePath = "path/to/fingerprint/images.jpg";
            
            Path imagePath = Paths.get(imagePath);
            if (!Files.exists(imagePath) || !Files.isRegularFile(imagePath) || !Files.isReadable(imagePath)) {
                System.err.println("Invalid image file: " + imagePath);
                return;
            }
    
            try {
                byte[] imageBytes = Files.readAllBytes(imagePath);
    
                // Step 3: Extract the fingerprint template
                FingerprintImage fingerprintImage = new FingerprintImage(
                        imageBytes,
                        new FingerprintImageOptions().dpi(500)
                );
    
                FingerprintTemplate template = new FingerprintTemplate(fingerprintImage);
    
                // Logging template information
                System.out.println("Template size: " + template.toByteArray().length + " bytes");
    
            } catch (IOException e) {
                System.err.println("Error reading image file: " + e.getMessage());
            }
        }
    }

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  • 本文由 发表于 2023年7月27日 21:24:10
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