我是C#生物识别传感器和DLL编码的新手。我正在使用DigitalPersona阅读器UareU 4500.我已阅读API文档并查看了他们提供的示例程序。但是,我对使用GUI版本不感兴趣。我想使用API方法。我搜索过示例,但无法找到任何描述性的示例。请帮忙。
我的问题是如何设置加载EventHandlers以及如何在位图图像中获取指纹。
提前谢谢你。任何信息或指南都非常感激。
class FingerprintScanning
{
public DPFP.Capture.Capture fingerprint = new DPFP.Capture.Capture();
public DPFP.Sample sample = new DPFP.Sample();
public DPFP.Capture.EventHandler EventHandler;
public Bitmap picture_result = null;
public void CaptureFingerprint()
{
fingerprint.StartCapture();
//Events
EventHandler.OnFingerTouch(fingerprint,fingerprint.ReaderSerialNumber);
EventHandler.OnComplete(fingerprint,fingerprint.ReaderSerialNumber,sample);
//Convert to Bitmap
SampleConversion image = new SampleConversion();
image.ConvertToPicture(sample, ref picture_result);
fingerprint.StopCapture();
}
}
答案 0 :(得分:2)
我找到了使用SDK API的示例。在这里分享,以防任何人需要在项目中实施。
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Text;
using System.Windows.Forms;
namespace Enrollment
{
/* NOTE: This form is a base for the EnrollmentForm and the VerificationForm,
All changes in the CaptureForm will be reflected in all its derived forms.
*/
public partial class CaptureForm : Form, DPFP.Capture.EventHandler
{
public CaptureForm()
{
InitializeComponent();
}
protected virtual void Init()
{
try
{
Capturer = new DPFP.Capture.Capture(); // Create a capture operation.
if ( null != Capturer )
Capturer.EventHandler = this; // Subscribe for capturing events.
else
SetPrompt("Can't initiate capture operation!");
}
catch
{
MessageBox.Show("Can't initiate capture operation!", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
protected virtual void Process(DPFP.Sample Sample)
{
// Draw fingerprint sample image.
DrawPicture(ConvertSampleToBitmap(Sample));
}
protected void Start()
{
if (null != Capturer)
{
try
{
Capturer.StartCapture();
SetPrompt("Using the fingerprint reader, scan your fingerprint.");
}
catch
{
SetPrompt("Can't initiate capture!");
}
}
}
protected void Stop()
{
if (null != Capturer)
{
try
{
Capturer.StopCapture();
}
catch
{
SetPrompt("Can't terminate capture!");
}
}
}
#region Form Event Handlers:
private void CaptureForm_Load(object sender, EventArgs e)
{
Init();
Start(); // Start capture operation.
}
private void CaptureForm_FormClosed(object sender, FormClosedEventArgs e)
{
Stop();
}
#endregion
#region EventHandler Members:
public void OnComplete(object Capture, string ReaderSerialNumber, DPFP.Sample Sample)
{
MakeReport("The fingerprint sample was captured.");
SetPrompt("Scan the same fingerprint again.");
Process(Sample);
}
public void OnFingerGone(object Capture, string ReaderSerialNumber)
{
MakeReport("The finger was removed from the fingerprint reader.");
}
public void OnFingerTouch(object Capture, string ReaderSerialNumber)
{
MakeReport("The fingerprint reader was touched.");
}
public void OnReaderConnect(object Capture, string ReaderSerialNumber)
{
MakeReport("The fingerprint reader was connected.");
}
public void OnReaderDisconnect(object Capture, string ReaderSerialNumber)
{
MakeReport("The fingerprint reader was disconnected.");
}
public void OnSampleQuality(object Capture, string ReaderSerialNumber, DPFP.Capture.CaptureFeedback CaptureFeedback)
{
if (CaptureFeedback == DPFP.Capture.CaptureFeedback.Good)
MakeReport("The quality of the fingerprint sample is good.");
else
MakeReport("The quality of the fingerprint sample is poor.");
}
#endregion
protected Bitmap ConvertSampleToBitmap(DPFP.Sample Sample)
{
DPFP.Capture.SampleConversion Convertor = new DPFP.Capture.SampleConversion(); // Create a sample convertor.
Bitmap bitmap = null; // TODO: the size doesn't matter
Convertor.ConvertToPicture(Sample, ref bitmap); // TODO: return bitmap as a result
return bitmap;
}
protected DPFP.FeatureSet ExtractFeatures(DPFP.Sample Sample, DPFP.Processing.DataPurpose Purpose)
{
DPFP.Processing.FeatureExtraction Extractor = new DPFP.Processing.FeatureExtraction(); // Create a feature extractor
DPFP.Capture.CaptureFeedback feedback = DPFP.Capture.CaptureFeedback.None;
DPFP.FeatureSet features = new DPFP.FeatureSet();
Extractor.CreateFeatureSet(Sample, Purpose, ref feedback, ref features); // TODO: return features as a result?
if (feedback == DPFP.Capture.CaptureFeedback.Good)
return features;
else
return null;
}
protected void SetStatus(string status)
{
this.Invoke(new Function(delegate() {
StatusLine.Text = status;
}));
}
protected void SetPrompt(string prompt)
{
this.Invoke(new Function(delegate() {
Prompt.Text = prompt;
}));
}
protected void MakeReport(string message)
{
this.Invoke(new Function(delegate() {
StatusText.AppendText(message + "\r\n");
}));
}
private void DrawPicture(Bitmap bitmap)
{
this.Invoke(new Function(delegate() {
Picture.Image = new Bitmap(bitmap, Picture.Size); // fit the image
into the picture box
}));
}
private DPFP.Capture.Capture Capturer;
}
}