基于Android tess-two工程的数字识别

本demo是识别0-9十张数字图片的小例子

1.资源

   将armeabi和armeabi-v7a拷贝到libs目录下，奖数据集（eng.traineddata）存放在src/main/assets目录下

 

2.布局文件

 

3.代码

public class MainActivity extends AppCompatActivity {

    public static final String TAG = "MainActivity";

    private ImageView image;

    private TextView resultText;

    /**
     * TessBaseAPI初始化用到的第一个参数，是个目录。
     */
    private static final String DATAPATH = Environment.getExternalStorageDirectory().getAbsolutePath() + File.separator;

    /**
     * 保存到SD卡中的完整文件名
     */
    private static final String LANGUAGE_PATH = DATAPATH + File.separator + "tessdata" + File.separator + "eng.traineddata";

    /**
     * assets中的文件名
     */
    private static final String DEFAULT_LANGUAGE_NAME = "eng.traineddata";

    private static final String TEST_PICTURE_PATH = "mnt/sdcard/testdata";

    public static Bitmap bitmap = null;

    public static int picIndex = 0;

    Handler mHandler = new Handler() {
        @Override
        public void handleMessage(Message msg) {
            if (msg.what == 0x01) {
                String result = msg.getData().getString("key");
                resultText.setText("识别完毕，结果为:" + result);
            } else if (msg.what == 0x02) {
                resultText.setText("识别失败");
            }
            if (bitmap != null) {
                image.setImageBitmap(bitmap);
            }
        }
    };

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_main);

        copyToSD(LANGUAGE_PATH, DEFAULT_LANGUAGE_NAME);

        initView();
        testOcr();
    }

    /**
     * 将assets中的识别库复制到SD卡中
     *
     * @param path 要存放在SD卡中的 完整的文件名。这里是"/storage/emulated/tessdata/chi_sim.traineddata"
     * @param name assets中的文件名 这里是 "chi_sim.traineddata"
     */
    public void copyToSD(final String path, final String name) {
        Log.i(TAG, "copyToSD: " + path);
        Log.i(TAG, "copyToSD: " + name);

        //如果存在就删掉
        File f = new File(path);
        if (f.exists()) {
            f.delete();
        }
        if (!f.exists()) {
            File p = new File(f.getParent());
            if (!p.exists()) {
                p.mkdirs();
            }
            try {
                f.createNewFile();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
        InputStream is = null;
        OutputStream os = null;
        try {
            is = this.getAssets().open(name);
            File file = new File(path);
            os = new FileOutputStream(file);
            byte[] bytes = new byte[2048];
            int len = 0;
            while ((len = is.read(bytes)) != -1) {
                os.write(bytes, 0, len);
            }
            os.flush();
        } catch (IOException e) {
            e.printStackTrace();
        } finally {
            try {
                if (is != null)
                    is.close();
                if (os != null)
                    os.close();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    }

    private void testOcr() {
        new Thread(new ocrHandle()).start();
    }

    private void initView() {
        image = (ImageView) findViewById(R.id.image);
        resultText = (TextView) findViewById(R.id.result);
    }


    private class ocrHandle implements Runnable {
        @Override
        public void run() {
            while (true) {
                String path = TEST_PICTURE_PATH + File.separator + picIndex + ".png";
                // 获取Bitmap
                BitmapFactory.Options options = new BitmapFactory.Options();
                options.inSampleSize = 2;
                Bitmap tmp = BitmapFactory.decodeFile(path, options);
                bitmap = tmp;

                // 开始调用Tess函数对图像进行识别
                TessBaseAPI tessBaseAPI = new TessBaseAPI();
                tessBaseAPI.setDebug(true);
                tessBaseAPI.init(DATAPATH, "eng");
                tessBaseAPI.setVariable(TessBaseAPI.VAR_CHAR_WHITELIST, "0123456789"); // 识别白名单
                tessBaseAPI.setVariable(TessBaseAPI.VAR_CHAR_BLACKLIST, "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz!@#$%^&*()_+=-[]}{;:'\"\\|~`,./<>?"); // 识别黑名单
                tessBaseAPI.setPageSegMode(TessBaseAPI.PageSegMode.PSM_SINGLE_CHAR);//设置识别模式
                tessBaseAPI.setImage(tmp); //设置需要识别图片的bitmap
                String inspection = tessBaseAPI.getUTF8Text();
                tessBaseAPI.end();

                Message message = new Message();
                if (inspection == null || inspection.isEmpty()) {
                    message.what = 0x02;
                } else {
                    Bundle bundle = new Bundle();
                    bundle.putString("key", inspection);
                    message.what = 0x01;
                    message.setData(bundle);
                }
                mHandler.sendMessage(message);

                picIndex++;
                if (picIndex >= 11) {
                    break;
                }

                try {
                    Thread.sleep(1000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        }
    }
}

4.AndroidManifest.xml