Age Estimation of Person Based on Face Features

In the era of information technology the social media and other sources of evidence are usually used to spot suspects and victims of crimes by police. Investigators generally use individual characteristics like gender, age, weight, height, etc. from unknown speculate to testimony in their perception. For example in child abuse investigations victim age is essential in the detection of the offenses' classification. Machine learning methods are used in the analysis of digital photographs to identify soft biometric. Investigator benefits from this to improve their cases. This paper presents an efficient intelligent system for age estimation of a person's by employing the facial features. The facial information employing the deep learning technique that is transfer learning based on Convolutional Neural Networks will estimate the age of the person. The method contains pre-trained model, convolutional base, and classifier. The proposed method is efficient and outer performs the state-of-the-art techniques.