<p>Though I don't consider myself to be the expert in CV, but I have dabbled a bit to point you to the right literature.</p>

<p>Look at this paper for a survey of work used in human gender recognition from face images:
<a href="http://arxiv.org/pdf/1204.1611.pdf" rel="nofollow">http://arxiv.org/pdf/1204.1611.pdf</a></p>

<p>Also look at following papers:
<a href="http://www.cse.unr.edu/~bebis/GenderRecognitionIWSSIP12.pdf" rel="nofollow">http://www.cse.unr.edu/~bebis/GenderRecognitionIWSSIP12.pdf</a>
<a href="http://tdlc.ucsd.edu/research/publications/Nestor_Tarr_Gender_Recognition.pdf" rel="nofollow">http://tdlc.ucsd.edu/research/publications/Nestor_Tarr_Gender_Recognition.pdf</a>
<a href="http://www.ijarcce.com/upload/2013/june/43-Hadeel%20Alrashed%20-facial%20gender%20recognition%20using%20eyes%20images.pdf" rel="nofollow">http://www.ijarcce.com/upload/2013/june/43-Hadeel%20Alrashed%20-facial%20gender%20recognition%20using%20eyes%20images.pdf</a></p>
How to improve human gender recognition based on face image?
<p>Now I'm doing human face gender recognition using javacv, The correctness is not very satisfactory for only about 70%. The training set I'm using is some asia human face images I get from internet, and I both used geometry info based training &amp; classification and appearance based info.</p>

<p>The geometry info is produced by choosing some face feature points ratios such like faceheight/facewidth etc and trained by a fisher recognizor, while the appearance info is trained by a LBP face recognizor.</p>

<p>My question is: what is the key point to improve the correctness of gender recognition? Can someone share some experiences?</p>

<p>Thanks~</p>