qa.qcri.prepocressor.operations.feat

Class ConcavityFeatureExtractor

java.lang.Object

qa.qcri.prepocressor.operations.feat.FeatureExtractor

qa.qcri.prepocressor.operations.feat.ConcavityFeatureExtractor

public class ConcavityFeatureExtractor
extends FeatureExtractor

This feature extractor implements the concavity features described in "Features for HMM-Based Arabic Handwritten Word Recognition Systems", 2012. The baseline dependent features are reduced to the zones "above baseline" and "below baseline".

Author:

Felix Stahlberg

Constructor Summary

Constructors

Constructor and Description
ConcavityFeatureExtractor(Configuration conf)

Method Summary

Methods

Modifier and Type	Method and Description
java.util.List<java.lang.Double>	extractFeatures(org.opencv.core.Mat whole, org.opencv.core.Mat frame) Extract concavity features based on 3x3 masks as defined by (Likforman-Sulem et. al., 2012).

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ConcavityFeatureExtractor

public ConcavityFeatureExtractor(Configuration conf)

Method Detail

extractFeatures

public java.util.List<java.lang.Double> extractFeatures(org.opencv.core.Mat whole,
                                               org.opencv.core.Mat frame)

Extract concavity features based on 3x3 masks as defined by (Likforman-Sulem et. al., 2012). Extract features from the given frame. The length of the returned array should be always the same as long as the height of the frame matrix stays the same.

Specified by:

extractFeatures in class FeatureExtractor

Parameters:

whole - whole input frame

frame - current frame from which to extract features

Returns:

list of features or null if an error occurred