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diff --git a/tesseract/src/wordrec/measure.h b/tesseract/src/wordrec/measure.h
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+/******************************************************************************
+ *
+ * File:         measure.h
+ * Description:  Statistics for a group of single measurements
+ * Author:       Mark Seaman, SW Productivity
+ *
+ * (c) Copyright 1987, Hewlett-Packard Company.
+ ** Licensed under the Apache License, Version 2.0 (the "License");
+ ** you may not use this file except in compliance with the License.
+ ** You may obtain a copy of the License at
+ ** http://www.apache.org/licenses/LICENSE-2.0
+ ** Unless required by applicable law or agreed to in writing, software
+ ** distributed under the License is distributed on an "AS IS" BASIS,
+ ** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ ** See the License for the specific language governing permissions and
+ ** limitations under the License.
+ *
+ *****************************************************************************/
+
+#ifndef MEASURE_H
+#define MEASURE_H
+
+/*
+----------------------------------------------------------------------
+              I n c l u d e s
+----------------------------------------------------------------------
+*/
+
+#include <cmath>
+
+/*
+----------------------------------------------------------------------
+              T y p e s
+----------------------------------------------------------------------
+*/
+
+typedef struct
+{
+  long num_samples;
+  float sum_of_samples;
+  float sum_of_squares;
+} MEASUREMENT;
+
+/*
+----------------------------------------------------------------------
+              M a c r o s
+----------------------------------------------------------------------
+*/
+
+/**********************************************************************
+ * add_sample
+ *
+ * Add one more sample to a measurement.
+ **********************************************************************/
+
+#define ADD_SAMPLE(m, s)           \
+  (m.sum_of_samples += (float)(s), \
+   m.sum_of_squares += (float)(s) * (float)(s), ++m.num_samples)
+
+/**********************************************************************
+ * mean
+ *
+ * Return the mean value of the measurement.
+ **********************************************************************/
+
+#define MEAN(m) \
+  ((m).num_samples ? ((float)((m).sum_of_samples / (m).num_samples)) : 0)
+
+/**********************************************************************
+ * new_measurement
+ *
+ * Initialize a record to hold a measurement of a group of individual
+ * samples.
+ **********************************************************************/
+
+#define new_measurement(m) \
+  ((m).num_samples = 0, (m).sum_of_samples = 0, (m).sum_of_squares = 0)
+
+/**********************************************************************
+ * number_of_samples
+ *
+ * Return the number of samples in a measurement.
+ **********************************************************************/
+
+#define number_of_samples(m)  \
+((m).num_samples)
+
+/**********************************************************************
+ * standard_deviation
+ *
+ * Return the standard deviation of the measurement.
+ **********************************************************************/
+
+#define standard_deviation(m)                                \
+((float) sqrt (VARIANCE (m)))
+
+/**********************************************************************
+ * variance
+ *
+ * Return the variance of the measurement.
+ **********************************************************************/
+
+#define VARIANCE(m)                                           \
+  (((m).num_samples > 1)                                      \
+       ? ((float)(((m).num_samples * (m).sum_of_squares -     \
+                   (m).sum_of_samples * (m).sum_of_samples) / \
+                  (((m).num_samples - 1) * (m).num_samples))) \
+       : 0)
+
+/**********************************************************************
+ * print_summary
+ *
+ * Summarize a MEASUREMENT record.
+ **********************************************************************/
+
+#define print_summary(string, measure)                             \
+  tprintf("\t%-20s \tn = %d, \tm = %4.2f, \ts = %4.2f\n ", string, \
+          number_of_samples(measure), MEAN(measure),               \
+          standard_deviation(measure))
+#endif