我是C#中使用生物识别传感器和DLL编码的新手。我正在使用DigitalPersona阅读器UareU 4500。我已经阅读了 API 文档并看到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。我搜索了示例，但找不到任何描述性示例。请帮忙。
我的问题是如何设置加载事件处理程序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谢。
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();
}
}
我找到了使用SDK的API的示例。在这里分享，以防有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 + "rn");
}));
}
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;
}
}