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Digital images were considered as authentic proof of evidence some years ago but advancement in technology has made image tampering an easy task for every user. Investigation of the digital images for forgery detection, and authenticate their genuineness is need of the hour. To address this issue, the paper proposes a new block-based technique for image splicing detection. In this technique, first the image is converted to YC_bC_r format and chrominance component of the image is extracted. This component is segmented in overlapping blocks to extract local features. The paper proposes to use a new texture descriptor named as otsu based enhanced local ternary pattern (OELTP) for feature extraction from these blocks. OELTP uses an optimal threshold value to improve the enhanced local ternary pattern (ELTP) texture descriptor, for better detection of image forgery. Further, the paper proposes to use energy …