Detecting finger type with mantra fingerprint sensor

Question

I have mantra MFS100 optical fingerprint sensor, I want to build an android app that shows the type of finger that is being scanned.

I want to make the app such that it can show which finger is being scanned like Thumb or Index.

Note: I have successfully downloaded the mantra MFS100 Android SDK but there is no any function that can detect the type of finger being scanned

Below is the function that start capturing the finger data

private void StartSyncCapture() {

    // //// Use thread if you want to show preview, else no need to use
    // thread.
    new Thread(new Runnable() {

        @Override
        public void run() {
            SetTextonuiThread("");
            try {
                FingerData fingerData = new FingerData();
                int ret = mfs100.AutoCapture(fingerData, timeout, true,
                        false);
                if (ret != 0) {
                    SetTextonuiThread(mfs100.GetErrorMsg(ret));
                } else {
                    final Bitmap bitmap = BitmapFactory.decodeByteArray(
                            fingerData.FingerImage(), 0,
                            fingerData.FingerImage().length);
                    imgFinger.post(new Runnable() {
                        @Override
                        public void run() {
                            imgFinger.setImageBitmap(bitmap);
                            imgFinger.refreshDrawableState();
                        }
                    });

                    SetTextonuiThread("Capture Success");
                    String log = "\nQuality: " + fingerData.Quality()
                            + "\nNFIQ: " + fingerData.Nfiq()
                            + "\nWSQ Compress Ratio: "
                            + fingerData.WSQCompressRatio()
                            + "\nImage Dimensions (inch): "
                            + fingerData.InWidth() + "\" X "
                            + fingerData.InHeight() + "\""
                            + "\nImage Area (inch): " + fingerData.InArea()
                            + "\"" + "\nResolution (dpi/ppi): "
                            + fingerData.Resolution() + "\nGray Scale: "
                            + fingerData.GrayScale() + "\nBits Per Pixal: "
                            + fingerData.Bpp() + "\nWSQ Info: "
                            + fingerData.WSQInfo();
                    SetLogOnUIThread(log);

                    //////////////////// Extract ANSI Template
                    byte[] tempData = new byte[2000]; // length 2000 is mandatory
                    byte[] ansiTemplate = null;
                    int dataLen = mfs100.ExtractANSITemplate(fingerData.RawData(), tempData);
                    if(dataLen<=0)
                    {
                        if(dataLen==0)
                        {
                            SetTextonuiThread("Failed to extract ANSI Template");
                        }
                        else
                        {
                            SetTextonuiThread(mfs100.GetErrorMsg(dataLen));
                        }
                        return;
                    }
                    else
                    {
                        ansiTemplate = new byte[dataLen];
                        System.arraycopy(tempData, 0, ansiTemplate, 0,
                                dataLen);
                    }
                    //////////////////////////////////////////////

                    //////////////////// Extract ISO Image
                    dataLen=0;
                    tempData = new byte[(mfs100.GetDeviceInfo().Width() * mfs100.GetDeviceInfo().Height())+1078]; 
                    byte[] isoImage = null;
                    dataLen = mfs100.ExtractISOImage(fingerData.RawData(),tempData);
                    if(dataLen<=0)
                    {
                        if(dataLen==0)
                        {
                            SetTextonuiThread("Failed to extract ISO Image");
                        }
                        else
                        {
                            SetTextonuiThread(mfs100.GetErrorMsg(dataLen));
                        }
                        return;
                    }
                    else
                    {
                        isoImage = new byte[dataLen];
                        System.arraycopy(tempData, 0, isoImage, 0,
                                dataLen);
                    }
                    //////////////////////////////////////////////

                    //////////////////// Extract WSQ Image
                    dataLen=0;
                    tempData = new byte[(mfs100.GetDeviceInfo().Width() * mfs100.GetDeviceInfo().Height())+1078];
                    byte[] wsqImage = null;
                    dataLen = mfs100.ExtractWSQImage(fingerData.RawData(),tempData);

                    if(dataLen<=0)
                    {
                        if(dataLen==0)
                        {
                            SetTextonuiThread("Failed to extract WSQ Image");
                        }
                        else
                        {
                            SetTextonuiThread(mfs100.GetErrorMsg(dataLen));
                        }
                        return;
                    }
                    else
                    {
                        wsqImage = new byte[dataLen];
                        System.arraycopy(tempData, 0, wsqImage, 0,
                                dataLen);
                    }
                    //////////////////////////////////////////////

                    SetData2(fingerData,ansiTemplate,isoImage,wsqImage);
                }
            } catch (Exception ex) {
                SetTextonuiThread("Error");
            }
        }
    }).start();
}

Answer 1

Namy, It is not possible to identify the position (e.g. LEFT_INDEX, LEFT_THUMB, RIGHT_INDEX etc) of finger from captured data. You need to manage position of finger from your side.

Answer 2

if you want to do Aadhaar implementation you need to pass PidOptions and get pid_data and device_info for that need to download RDServiceMFS100 from https://download.mantratecapp.com/Forms/UserDownload then import to android that was old version so need to do some changes like add google maven (give autosuggestion by android studio) then need to replace old constraint to this compile 'com.android.support.constraint:constraint-layout:1.1.3' after that ready to test and put on your code where you want.

Answer 3

Your sample code help to capture and extract image (WSQ or ISO) or template (ANSI).

You have to use a function to match current fingerprint with a saved fingerprint. For instance with this method: mfs100.MatchISO