<p>The fast dissemination of multimedia conversation necessitates stable mechanisms for shielding touchy biometric records in opposition to unauthorized get entry to and steganalysis attacks. Highly indiscernible and robust stego technique is inevitable for secure transmission of biometric information. The present paper presents a robust biometric steganography system that uses a strong twin design that can embed signature and fingerprint template within virtual snapshots the hybrid transform-area design. This method proposes a lightweight CNN-guided chaotic DWT-DCT stego strategy which secure dual biometric embedding. The proposed paradigm combines DWT-DCT embedding, CNN-based adaptive weighting, logistic chaotic modulation, and ECC-guided biometric fusion. The technique integrates multi-degree Discrete Wavelet Transform (DWT) and block-primarily based totally Discrete Cosine Transform (DCT) to attain adaptive and statistically managed embedding. The chaotic-pushed choice mechanism of coefficient is incorporated to enhance randomness and create more of a resistance in contrast to structural and statistical steganalysis. Experimental evaluation of many benchmark snap shots shows high-order imperceptibility, with average Peak Signal-noise ratio (PSNR) values of more than 56.209 dB as well as Structural similarity index (SSIM) values approaching unity (≈ 0.999611), ensuring the low-level perceptual and structural distortion as well as high robustness against geometrical and steganalysis attacks. The evaluation of robustness against unusual place sign processing attacks, as well as the JPEG compression, Gaussian noise, filtering, and scaling which consistently provides low Bit Error Rates (BER) of the order of 10^− 4 in the presence of gaussian noise, establishes reliable biometric recovery. Additional mapping analyses overlay and embedded further confirm the absence of clustering artifacts in the distribution of payload. This has a normal computational complexity of O(N²) and low embedding and extractive times, which implies it can be used in real-time stable communication systems. The suggested framework effectively strikes a balance between payload capacity, imperceptibility, robustness and computational efficiency and is thus a potential solution to stable biometric authentication, virtual rights management and forensic resistant multimedia communications. The proposed structure accomplished balanced triads: imperceptibility, robustness, and security for biometric communication strategy.</p>